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| 2025-05-13 00:43:06,720 - INFO - Application started | |
| 2025-05-13 01:25:49,106 - INFO - Application started | |
| 2025-05-13 01:25:51,819 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:25:51,819 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:25:51,820 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:25:51,872 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:25:51,872 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:25:56,432 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:25:56,433 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:25:56,433 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:25:56,434 - INFO - RAG service initialized | |
| 2025-05-13 01:25:56,438 - INFO - Searching ArXiv with query: hello AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 01:25:56,438 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=hello+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 01:25:58,040 - INFO - Got first page: 35 of 35 total results | |
| 2025-05-13 01:25:58,041 - INFO - Found 10 papers | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'AI in the media and creative industries' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'ANAVI: Audio Noise Awareness using Visuals of Indoor environments for NAVIgation' into 4 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Hello Edge: Keyword Spotting on Microcontrollers' into 4 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'HomeRobot: Open-Vocabulary Mobile Manipulation' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance Recognition' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial Fusion SLAM for Dynamic Legged Robotics' into 4 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Hello Again! LLM-powered Personalized Agent for Long-term Dialogue' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments' into 5 chunks | |
| 2025-05-13 01:25:58,042 - INFO - Split paper 'Online Modifications for Event-based Signal Temporal Logic Specifications' into 3 chunks | |
| 2025-05-13 01:25:58,043 - INFO - Embedding 45 documents... | |
| 2025-05-13 01:25:58,553 - INFO - Added 45 documents to vector database. Total: 45 | |
| 2025-05-13 01:25:58,678 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 01:26:09,624 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:09,625 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:09,625 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:09,625 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:09,626 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:09,626 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:09,633 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:09,633 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:09,634 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:09,634 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:10,589 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:10,589 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:10,589 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:10,590 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:10,590 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:10,597 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:10,597 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:10,597 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:10,599 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:10,599 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:11,699 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:11,699 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:11,700 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:11,700 - INFO - RAG service initialized | |
| 2025-05-13 01:26:11,728 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:11,729 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:11,729 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:11,729 - INFO - RAG service initialized | |
| 2025-05-13 01:26:12,220 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:12,220 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:12,220 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:12,220 - INFO - RAG service initialized | |
| 2025-05-13 01:26:12,290 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:12,290 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:12,290 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:12,291 - INFO - RAG service initialized | |
| 2025-05-13 01:26:20,483 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:20,484 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:20,484 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:20,484 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:20,484 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:20,484 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:20,491 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:20,492 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:20,492 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:20,492 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:20,577 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:20,577 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:20,577 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:20,579 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:20,579 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:21,824 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:21,825 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:21,825 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:21,826 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:21,826 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:21,828 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:21,828 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:21,828 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:21,830 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:21,830 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:22,574 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:22,577 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:22,578 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:22,585 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:22,586 - INFO - RAG service initialized | |
| 2025-05-13 01:26:22,586 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:22,586 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:22,587 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:22,588 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:22,589 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:22,589 - INFO - RAG service initialized | |
| 2025-05-13 01:26:22,589 - INFO - RAG service initialized | |
| 2025-05-13 01:26:23,471 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:23,472 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:23,474 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:23,474 - INFO - RAG service initialized | |
| 2025-05-13 01:26:23,742 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:23,742 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:23,742 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:23,742 - INFO - RAG service initialized | |
| 2025-05-13 01:26:25,189 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:25,189 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:25,189 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:25,191 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:25,191 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:27,168 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:27,169 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:27,169 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:27,169 - INFO - RAG service initialized | |
| 2025-05-13 01:26:27,170 - INFO - Searching ArXiv with query: hello AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 01:26:27,170 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=hello+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 01:26:28,435 - INFO - Got first page: 35 of 35 total results | |
| 2025-05-13 01:26:28,436 - INFO - Found 10 papers | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'AI in the media and creative industries' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'ANAVI: Audio Noise Awareness using Visuals of Indoor environments for NAVIgation' into 4 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Hello Edge: Keyword Spotting on Microcontrollers' into 4 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'HomeRobot: Open-Vocabulary Mobile Manipulation' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance Recognition' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial Fusion SLAM for Dynamic Legged Robotics' into 4 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Hello Again! LLM-powered Personalized Agent for Long-term Dialogue' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments' into 5 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Split paper 'Online Modifications for Event-based Signal Temporal Logic Specifications' into 3 chunks | |
| 2025-05-13 01:26:28,436 - INFO - Embedding 45 documents... | |
| 2025-05-13 01:26:29,032 - INFO - Added 45 documents to vector database. Total: 45 | |
| 2025-05-13 01:26:29,076 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 01:26:31,247 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:31,247 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:31,247 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:31,247 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:26:31,247 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:31,247 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:31,247 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:26:31,248 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:31,248 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:31,253 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:31,254 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:31,254 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:31,254 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:31,255 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:26:31,256 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:26:33,670 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:33,670 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:26:33,671 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:33,671 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:26:33,671 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:33,671 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:26:33,671 - INFO - RAG service initialized | |
| 2025-05-13 01:26:33,671 - INFO - RAG service initialized | |
| 2025-05-13 01:27:14,732 - INFO - Application started | |
| 2025-05-13 01:27:15,577 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:27:15,578 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:27:15,578 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:15,606 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:27:15,606 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:18,450 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:27:18,450 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:27:18,450 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:27:18,451 - INFO - RAG service initialized | |
| 2025-05-13 01:27:18,451 - INFO - Searching ArXiv with query: hello AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 01:27:18,451 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=hello+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 01:27:19,543 - INFO - Got first page: 35 of 35 total results | |
| 2025-05-13 01:27:19,544 - INFO - Found 10 papers | |
| 2025-05-13 01:27:19,544 - INFO - Split paper 'AI in the media and creative industries' into 5 chunks | |
| 2025-05-13 01:27:19,544 - INFO - Split paper 'ANAVI: Audio Noise Awareness using Visuals of Indoor environments for NAVIgation' into 4 chunks | |
| 2025-05-13 01:27:19,544 - INFO - Split paper 'Hello Edge: Keyword Spotting on Microcontrollers' into 4 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'HomeRobot: Open-Vocabulary Mobile Manipulation' into 5 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance Recognition' into 5 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial Fusion SLAM for Dynamic Legged Robotics' into 4 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents' into 5 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'Hello Again! LLM-powered Personalized Agent for Long-term Dialogue' into 5 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments' into 5 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Split paper 'Online Modifications for Event-based Signal Temporal Logic Specifications' into 3 chunks | |
| 2025-05-13 01:27:19,545 - INFO - Embedding 45 documents... | |
| 2025-05-13 01:27:20,119 - INFO - Added 45 documents to vector database. Total: 45 | |
| 2025-05-13 01:27:20,257 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 01:27:38,479 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:27:38,480 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:27:38,480 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:38,483 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:27:38,483 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:39,630 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:27:39,630 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:27:39,630 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:39,632 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:27:39,633 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:39,636 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:27:39,637 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:27:39,637 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:39,639 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:27:39,639 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:27:40,753 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:27:40,754 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:27:40,754 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:27:40,754 - INFO - RAG service initialized | |
| 2025-05-13 01:27:41,219 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:27:41,219 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:27:41,219 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:27:41,219 - INFO - RAG service initialized | |
| 2025-05-13 01:27:42,723 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:27:42,724 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:27:42,724 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:27:42,724 - INFO - RAG service initialized | |
| 2025-05-13 01:28:03,353 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:03,353 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:03,353 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:03,353 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:03,354 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:03,354 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:03,360 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:03,361 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:03,361 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:03,361 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:04,600 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:04,600 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:04,600 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:04,600 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:04,600 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:04,600 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:04,603 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:04,603 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:04,604 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:04,604 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:05,545 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:05,545 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:05,545 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:05,546 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 01:28:05,546 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:06,377 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:06,377 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:06,646 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:06,646 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:06,646 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:21,304 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:21,305 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:21,305 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:21,305 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:21,305 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:21,313 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:21,314 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:21,314 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:21,314 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:23,311 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 01:28:23,312 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:23,710 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:23,710 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:23,710 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:28,709 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:28,709 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:28,709 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:28,709 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:28,709 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:28,713 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:28,714 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:28,714 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:28,714 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:30,780 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:30,780 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:30,782 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:30,782 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:30,782 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:28:30,782 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:28:30,782 - INFO - RAG service initialized | |
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| 2025-05-13 01:28:42,064 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:42,064 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:42,064 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:42,064 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:42,064 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:42,064 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:42,069 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:42,070 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:42,070 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:42,070 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:44,112 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:44,113 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:44,113 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:44,128 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:44,128 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:44,128 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:28:53,003 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:53,003 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:53,008 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:53,008 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:53,009 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:53,013 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:53,013 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:53,015 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:53,015 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:55,965 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:28:55,966 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:28:55,966 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:28:55,966 - INFO - RAG service initialized | |
| 2025-05-13 01:28:57,951 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:57,951 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:57,951 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:57,951 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:57,951 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:57,951 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:57,955 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:57,956 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:57,956 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:57,956 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:58,943 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:58,943 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:58,943 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:58,943 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:28:58,944 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:28:58,944 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:58,945 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:58,945 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:28:58,946 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:28:58,947 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:01,029 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:01,029 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:01,117 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:01,142 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 01:29:01,160 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:01,160 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:29:01,160 - INFO - RAG service initialized | |
| 2025-05-13 01:29:01,307 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:01,308 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:01,309 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:29:01,309 - INFO - RAG service initialized | |
| 2025-05-13 01:29:14,771 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:14,772 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:14,772 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:14,775 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:14,775 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:14,775 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:14,777 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:14,778 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:14,778 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:14,778 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:16,866 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:16,867 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:16,867 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:16,867 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:16,868 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:29:16,868 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:29:16,868 - INFO - RAG service initialized | |
| 2025-05-13 01:29:16,868 - INFO - RAG service initialized | |
| 2025-05-13 01:29:17,636 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:17,636 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:17,636 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:17,636 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:17,638 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:17,638 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:17,642 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:17,643 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:17,644 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:17,645 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:19,805 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:29:19,806 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:29:19,806 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:29:19,806 - INFO - RAG service initialized | |
| 2025-05-13 01:29:21,831 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:21,832 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:21,832 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:21,832 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:21,833 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:21,833 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:21,838 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:21,838 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:21,845 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:21,846 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:23,470 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:23,471 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:23,471 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:23,471 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:23,471 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:23,471 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:23,473 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:23,473 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:23,476 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:23,476 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:25,656 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:25,656 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:25,656 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:25,656 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:25,657 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:25,657 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:25,659 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:25,659 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:25,660 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:25,660 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:27,187 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:27,187 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:27,187 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:27,187 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:27,188 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:27,188 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:27,193 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:27,193 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:27,195 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:27,195 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:41,154 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:41,155 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:41,155 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:41,156 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:29:41,156 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:29:41,157 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:41,160 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:41,161 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:29:41,161 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:29:41,162 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:30:06,585 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:30:06,586 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:30:06,586 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:30:06,586 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:30:06,586 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:30:06,586 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:30:06,590 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:30:06,591 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:30:06,592 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:30:06,592 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:08,366 - INFO - Application started | |
| 2025-05-13 01:38:09,074 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:38:09,074 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:38:09,074 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:09,074 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:38:09,074 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:38:09,075 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:09,106 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:38:09,107 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:09,108 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:38:09,108 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:11,540 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:38:11,540 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:38:11,540 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:11,542 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:38:11,542 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:12,068 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:38:12,069 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:38:12,069 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:38:12,069 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:38:12,070 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:38:12,070 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:38:12,070 - INFO - RAG service initialized | |
| 2025-05-13 01:38:12,070 - INFO - RAG service initialized | |
| 2025-05-13 01:38:13,901 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:38:13,901 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:38:13,901 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:38:13,901 - INFO - RAG service initialized | |
| 2025-05-13 01:38:13,904 - INFO - Searching ArXiv with query: explain quantum computing simple terms AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 01:38:13,904 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=explain+quantum+computing+simple+terms+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 01:38:16,254 - INFO - Got first page: 100 of 51191 total results | |
| 2025-05-13 01:38:16,255 - INFO - Found 10 papers | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'Hallucinative Topological Memory for Zero-Shot Visual Planning' into 5 chunks | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching' into 5 chunks | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'ALFWorld: Aligning Text and Embodied Environments for Interactive Learning' into 4 chunks | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification' into 4 chunks | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'Instruction-driven history-aware policies for robotic manipulations' into 4 chunks | |
| 2025-05-13 01:38:16,255 - INFO - Split paper 'QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks' into 3 chunks | |
| 2025-05-13 01:38:16,256 - INFO - Split paper 'CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation' into 5 chunks | |
| 2025-05-13 01:38:16,256 - INFO - Split paper 'Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences' into 4 chunks | |
| 2025-05-13 01:38:16,256 - INFO - Split paper 'Learning Various Length Dependence by Dual Recurrent Neural Networks' into 5 chunks | |
| 2025-05-13 01:38:16,256 - INFO - Split paper 'Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection' into 4 chunks | |
| 2025-05-13 01:38:16,256 - INFO - Embedding 43 documents... | |
| 2025-05-13 01:38:17,666 - INFO - Added 43 documents to vector database. Total: 43 | |
| 2025-05-13 01:38:17,864 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 01:38:57,018 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:38:57,018 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:38:57,019 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:38:57,019 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:38:57,019 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:57,019 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:57,029 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:38:57,030 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:38:57,030 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:57,030 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:38:58,981 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:38:58,981 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:38:58,981 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:38:58,981 - INFO - RAG service initialized | |
| 2025-05-13 01:38:59,392 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:38:59,392 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:38:59,393 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:38:59,393 - INFO - RAG service initialized | |
| 2025-05-13 01:41:41,997 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:41:42,000 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:41:42,001 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:41:42,024 - INFO - ArXiv API service initialized | |
| 2025-05-13 01:41:42,026 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 01:41:42,026 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:41:42,028 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:41:42,029 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:41:42,032 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 01:41:42,032 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 01:41:44,017 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:41:44,018 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:41:44,019 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:41:44,019 - INFO - RAG service initialized | |
| 2025-05-13 01:41:44,037 - INFO - Embedding dimension: 384 | |
| 2025-05-13 01:41:44,037 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 01:41:44,037 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 01:41:44,037 - INFO - RAG service initialized | |
| 2025-05-13 10:30:28,613 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:30:28,614 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:30:28,614 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:30:28,620 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:30:28,620 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:30:41,010 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:30:41,014 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:30:41,015 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:30:41,015 - INFO - RAG service initialized | |
| 2025-05-13 10:30:41,025 - INFO - Searching ArXiv with query: explain quantum computing simple terms AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 10:30:41,027 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=explain+quantum+computing+simple+terms+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 10:30:43,696 - INFO - Got first page: 100 of 51246 total results | |
| 2025-05-13 10:30:43,698 - INFO - Found 10 papers | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching' into 5 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Hallucinative Topological Memory for Zero-Shot Visual Planning' into 5 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification' into 4 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'ALFWorld: Aligning Text and Embodied Environments for Interactive Learning' into 4 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Instruction-driven history-aware policies for robotic manipulations' into 4 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks' into 3 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation' into 5 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences' into 4 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Learning Various Length Dependence by Dual Recurrent Neural Networks' into 5 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Split paper 'Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection' into 4 chunks | |
| 2025-05-13 10:30:43,699 - INFO - Embedding 43 documents... | |
| 2025-05-13 10:30:44,396 - INFO - Added 43 documents to vector database. Total: 43 | |
| 2025-05-13 10:30:44,443 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 10:32:24,762 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:32:24,763 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:32:24,763 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:32:24,763 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:32:24,763 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:24,763 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:24,784 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:32:24,785 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:32:24,785 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:24,785 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:27,167 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:32:27,169 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:32:27,171 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:32:27,171 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:32:27,173 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:32:27,173 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:32:27,173 - INFO - RAG service initialized | |
| 2025-05-13 10:32:27,173 - INFO - RAG service initialized | |
| 2025-05-13 10:32:37,720 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:32:37,721 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:32:37,721 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:37,725 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:32:37,725 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:32:40,067 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:32:40,068 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:32:40,068 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:32:40,068 - INFO - RAG service initialized | |
| 2025-05-13 10:32:40,071 - INFO - Searching ArXiv with query: compare transformer models cnns AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 10:32:40,072 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=compare+transformer+models+cnns+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 10:32:42,591 - INFO - Got first page: 100 of 18283 total results | |
| 2025-05-13 10:32:42,592 - INFO - Found 10 papers | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Predicting the Future with Transformational States' into 4 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms' into 5 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'SkelVIT: Consensus of Vision Transformers for a Lightweight Skeleton-Based Action Recognition System' into 5 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Comparative evaluation of CNN architectures for Image Caption Generation' into 4 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples' into 5 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Video based Object 6D Pose Estimation using Transformers' into 4 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'BM3D vs 2-Layer ONN' into 3 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks' into 4 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure' into 4 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Split paper 'NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks' into 6 chunks | |
| 2025-05-13 10:32:42,593 - INFO - Embedding 44 documents... | |
| 2025-05-13 10:32:43,936 - INFO - Added 44 documents to vector database. Total: 44 | |
| 2025-05-13 10:32:44,213 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 10:34:51,257 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:34:51,259 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:34:51,259 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:34:51,275 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:34:51,276 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:34:51,284 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:34:51,285 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:34:51,285 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:34:51,287 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:34:51,287 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:34:54,075 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:34:54,075 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:34:54,076 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:34:54,076 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:34:54,076 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:34:54,076 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:34:54,077 - INFO - RAG service initialized | |
| 2025-05-13 10:34:54,077 - INFO - RAG service initialized | |
| 2025-05-13 10:34:59,100 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:34:59,100 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:34:59,100 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:34:59,103 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:34:59,103 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:35:01,542 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:35:01,544 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:35:01,546 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:35:01,546 - INFO - RAG service initialized | |
| 2025-05-13 10:35:01,576 - INFO - Searching ArXiv with query: random forest AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 10:35:01,576 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=random+forest+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 10:35:03,556 - INFO - Got first page: 100 of 4262 total results | |
| 2025-05-13 10:35:03,557 - INFO - Found 10 papers | |
| 2025-05-13 10:35:03,557 - INFO - Split paper 'Handshape recognition for Argentinian Sign Language using ProbSom' into 4 chunks | |
| 2025-05-13 10:35:03,557 - INFO - Split paper 'Lie-Sensor: A Live Emotion Verifier or a Licensor for Chat Applications using Emotional Intelligence' into 4 chunks | |
| 2025-05-13 10:35:03,557 - INFO - Split paper 'PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks' into 4 chunks | |
| 2025-05-13 10:35:03,557 - INFO - Split paper 'Random Projection Forest Initialization for Graph Convolutional Networks' into 4 chunks | |
| 2025-05-13 10:35:03,557 - INFO - Split paper 'Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities' into 4 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Split paper 'Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures' into 4 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Split paper 'Graph Network Models To Detect Illicit Transactions In Block Chain' into 4 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Split paper 'A Probabilistic Theory of Deep Learning' into 4 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Split paper 'Atom Search Optimization with Simulated Annealing -- a Hybrid Metaheuristic Approach for Feature Selection' into 4 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Split paper 'Similarity Based Stratified Splitting: an approach to train better classifiers' into 3 chunks | |
| 2025-05-13 10:35:03,558 - INFO - Embedding 39 documents... | |
| 2025-05-13 10:35:05,009 - INFO - Added 39 documents to vector database. Total: 39 | |
| 2025-05-13 10:35:42,434 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:35:42,437 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:35:42,438 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:35:42,438 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:35:42,439 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:35:42,439 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:35:42,445 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:35:42,446 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:35:42,446 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:35:42,446 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:35:44,979 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:35:44,980 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:35:44,980 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:35:44,980 - INFO - RAG service initialized | |
| 2025-05-13 10:38:29,995 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:38:29,999 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:38:29,999 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:38:30,008 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:38:30,009 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:39:51,924 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:39:51,926 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:39:51,927 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:39:51,933 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:39:51,933 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:40:25,092 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:40:25,094 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:40:25,096 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:40:25,116 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:40:25,116 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:40:25,117 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:40:25,118 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:40:25,118 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:40:25,126 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:40:25,127 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:13,241 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:41:13,243 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:41:13,243 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:13,256 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:41:13,256 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:21,697 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:41:21,697 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:41:21,697 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:21,700 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:41:21,701 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:42,356 - INFO - Application started | |
| 2025-05-13 10:41:42,961 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:41:42,961 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:41:42,962 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:43,004 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:41:43,005 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:43,011 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:41:43,012 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:41:43,012 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:43,013 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:41:43,014 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:45,905 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:41:45,906 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:41:45,907 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:41:45,907 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:41:45,907 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:41:45,907 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:41:45,907 - INFO - RAG service initialized | |
| 2025-05-13 10:41:45,907 - INFO - RAG service initialized | |
| 2025-05-13 10:41:52,432 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:41:52,433 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:41:52,434 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:52,440 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:41:52,440 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:41:54,872 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:41:54,873 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:41:54,873 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:41:54,873 - INFO - RAG service initialized | |
| 2025-05-13 10:41:54,882 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 10:41:54,883 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 10:41:58,254 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 10:41:58,256 - INFO - Found 10 papers | |
| 2025-05-13 10:41:58,258 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 10:41:58,258 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 10:41:58,258 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 10:41:58,259 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 10:41:58,259 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 10:41:58,259 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 10:41:58,260 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 10:41:58,260 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 10:41:58,261 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 10:41:58,261 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 10:41:58,261 - INFO - Embedding 38 documents... | |
| 2025-05-13 10:42:01,006 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 10:42:05,124 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 10:42:27,760 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:42:27,760 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:42:27,761 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:42:27,761 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:42:27,761 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:42:27,761 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:42:27,772 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:42:27,773 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:42:27,773 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:42:27,773 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:42:30,051 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:42:30,052 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:42:30,053 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:42:30,053 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:42:30,054 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:42:30,054 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:42:30,054 - INFO - RAG service initialized | |
| 2025-05-13 10:42:30,054 - INFO - RAG service initialized | |
| 2025-05-13 10:43:12,702 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:43:12,702 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:43:12,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:43:12,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:43:12,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:43:12,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:43:12,709 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:43:12,710 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:43:12,710 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:43:12,710 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:43:15,067 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:43:15,067 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:43:15,068 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:43:15,068 - INFO - RAG service initialized | |
| 2025-05-13 10:50:41,836 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:50:41,836 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:50:41,837 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:50:41,839 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:50:41,839 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:50:41,839 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:50:41,849 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:50:41,850 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:50:41,850 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:50:41,850 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:50:44,170 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:50:44,170 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:50:44,172 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:50:44,172 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:50:44,172 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:50:44,172 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:50:44,172 - INFO - RAG service initialized | |
| 2025-05-13 10:50:44,172 - INFO - RAG service initialized | |
| 2025-05-13 10:53:02,434 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:53:02,435 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:53:02,436 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:02,448 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:53:02,448 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:05,236 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:53:05,236 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:53:05,236 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:53:05,236 - INFO - RAG service initialized | |
| 2025-05-13 10:53:05,238 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 10:53:05,239 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 10:53:07,503 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 10:53:07,504 - INFO - Found 10 papers | |
| 2025-05-13 10:53:07,505 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 10:53:07,505 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 10:53:07,505 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 10:53:07,506 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 10:53:07,507 - INFO - Embedding 38 documents... | |
| 2025-05-13 10:53:08,194 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 10:53:08,224 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 10:53:53,132 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:53:53,132 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:53:53,132 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:53,137 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:53:53,137 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:53,169 - INFO - ArXiv API service initialized | |
| 2025-05-13 10:53:53,169 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 10:53:53,169 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:53,174 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 10:53:53,174 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 10:53:55,480 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:53:55,480 - INFO - Embedding dimension: 384 | |
| 2025-05-13 10:53:55,481 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:53:55,481 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 10:53:55,481 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:53:55,481 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 10:53:55,481 - INFO - RAG service initialized | |
| 2025-05-13 10:53:55,481 - INFO - RAG service initialized | |
| 2025-05-13 11:14:45,559 - INFO - Application shut down | |
| 2025-05-13 11:14:51,213 - INFO - Application started | |
| 2025-05-13 11:15:09,718 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:15:09,718 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:15:09,718 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:15:09,721 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:15:11,917 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:15:11,918 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:15:11,918 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:15:11,918 - INFO - RAG service initialized | |
| 2025-05-13 11:15:11,921 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:15:11,922 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:15:13,809 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 11:15:13,810 - INFO - Found 10 papers | |
| 2025-05-13 11:15:13,810 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 11:15:13,811 - INFO - Embedding 38 documents... | |
| 2025-05-13 11:15:14,962 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 11:15:15,014 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:15:34,855 - INFO - Application shut down | |
| 2025-05-13 11:15:40,402 - INFO - Application started | |
| 2025-05-13 11:16:01,300 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:01,301 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:01,301 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:01,301 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,301 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:01,302 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,306 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,307 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,699 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:01,699 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:01,699 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:01,699 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:01,699 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,700 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,702 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:01,703 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:03,439 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:03,440 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:03,440 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:03,440 - INFO - RAG service initialized | |
| 2025-05-13 11:16:03,547 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:03,547 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:03,548 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:03,548 - INFO - RAG service initialized | |
| 2025-05-13 11:16:39,477 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:39,478 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:39,479 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:39,486 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:39,486 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:39,486 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:39,495 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:39,496 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:41,027 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:41,029 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:41,029 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:41,029 - INFO - RAG service initialized | |
| 2025-05-13 11:16:41,374 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:41,374 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:41,374 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:41,374 - INFO - RAG service initialized | |
| 2025-05-13 11:16:49,573 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:49,574 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:16:49,575 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:49,575 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:16:49,576 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:49,576 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:49,582 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:49,583 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:16:51,105 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:51,106 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:51,106 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:51,107 - INFO - RAG service initialized | |
| 2025-05-13 11:16:51,596 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:16:51,597 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:16:51,597 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:16:51,597 - INFO - RAG service initialized | |
| 2025-05-13 11:17:01,452 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:17:01,452 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:19:30,233 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:19:30,239 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:21:31,483 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:21:31,484 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:21:31,484 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:21:31,491 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:21:33,270 - INFO - Vector database initialized with dimension 384 | |
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| 2025-05-13 11:22:28,491 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:22:28,492 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:22:28,492 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:22:28,493 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:22:28,510 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:22:28,515 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:22:30,349 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:22:30,359 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:22:30,359 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:22:30,359 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:24:05,179 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:24:05,210 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:24:05,214 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:24:06,723 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:24:06,724 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:24:07,240 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:25:22,253 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:25:22,268 - INFO - ArXiv API service initialized | |
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| 2025-05-13 11:25:22,268 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:25:22,275 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:25:24,712 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:28:33,803 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:30:02,080 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:30:02,090 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:30:38,791 - INFO - ArXiv API service initialized | |
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| 2025-05-13 11:30:38,792 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:30:38,792 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:30:38,792 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:30:38,797 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:30:40,844 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:30:40,844 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:30:40,844 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:40,845 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:30:40,845 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:30:40,845 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:40,847 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:40,848 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:42,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:30:42,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:30:42,959 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
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| 2025-05-13 11:30:42,960 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:42,960 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:42,964 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:30:42,966 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:07,367 - INFO - Application started | |
| 2025-05-13 11:34:12,951 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:34:12,951 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:34:12,952 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:12,952 - INFO - ArXiv API service initialized | |
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| 2025-05-13 11:34:12,953 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:12,956 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:12,957 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:14,935 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:34:14,937 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:34:15,296 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:34:15,296 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:34:15,298 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:37:43,488 - INFO - Application shut down | |
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| 2025-05-13 11:38:28,263 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:38:28,264 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:38:28,264 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:38:28,321 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:38:28,322 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:38:28,405 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:38:28,405 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:38:28,407 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:38:28,407 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:38:30,849 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:38:30,851 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:38:30,851 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:38:47,499 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:38:47,499 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:38:47,510 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:38:47,511 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:39:00,257 - INFO - Application shut down | |
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| 2025-05-13 11:40:34,584 - INFO - Application shut down | |
| 2025-05-13 11:40:39,744 - INFO - Application started | |
| 2025-05-13 11:40:53,906 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:40:53,906 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:40:53,906 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:40:53,906 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:40:53,907 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:40:53,936 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:40:53,936 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:40:53,936 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:40:53,940 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:40:53,941 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:40:53,941 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:40:53,941 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:40:55,765 - WARNING - Failed to initialize model with device mps: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:40:55,765 - INFO - Falling back to CPU initialization | |
| 2025-05-13 11:40:55,767 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:40:56,256 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:40:56,257 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:40:56,257 - INFO - LLM service initialized with 3 supported models | |
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| 2025-05-13 11:41:27,058 - INFO - Application shut down | |
| 2025-05-13 11:41:39,832 - INFO - Application started | |
| 2025-05-13 11:43:25,171 - INFO - Application shut down | |
| 2025-05-13 11:43:30,298 - INFO - Application started | |
| 2025-05-13 11:43:33,578 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:43:33,579 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:43:33,579 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:33,580 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:43:33,580 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:43:33,581 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:33,604 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:43:33,606 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:43:33,606 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:33,606 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:34,637 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:43:34,638 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:43:34,638 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:34,641 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:43:34,642 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:35,562 - WARNING - Failed to initialize model with default settings: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:35,575 - INFO - Attempting to initialize model explicitly with CPU | |
| 2025-05-13 11:43:35,579 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:36,144 - INFO - Successfully loaded model with default device settings | |
| 2025-05-13 11:43:36,145 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:43:36,148 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:43:36,149 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:43:36,149 - INFO - RAG service initialized | |
| 2025-05-13 11:43:36,680 - WARNING - Failed to initialize model with default settings: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:36,694 - INFO - Attempting to initialize model explicitly with CPU | |
| 2025-05-13 11:43:36,703 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:43:37,543 - WARNING - Failed to initialize model on CPU: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:37,557 - INFO - Attempting low-level initialization of model | |
| 2025-05-13 11:43:38,324 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:43:38,327 - ERROR - All model initialization attempts failed: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:38,562 - WARNING - Failed to initialize model on CPU: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:38,576 - INFO - Attempting low-level initialization of model | |
| 2025-05-13 11:43:39,185 - INFO - Use pytorch device_name: mps | |
| 2025-05-13 11:43:39,187 - ERROR - All model initialization attempts failed: Cannot copy out of meta tensor; no data! Please use torch.nn.Module.to_empty() instead of torch.nn.Module.to() when moving module from meta to a different device. | |
| 2025-05-13 11:43:50,827 - INFO - Application shut down | |
| 2025-05-13 11:43:56,200 - INFO - Application started | |
| 2025-05-13 11:44:33,160 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:44:33,163 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:44:33,172 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:44:33,172 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:44:33,173 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:33,173 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:33,184 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:33,185 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:33,536 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:44:33,536 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:44:33,536 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:33,538 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:44:35,684 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:44:35,684 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:44:35,685 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:44:35,685 - INFO - RAG service initialized | |
| 2025-05-13 11:44:35,797 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:44:35,798 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:44:35,798 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:44:35,798 - INFO - RAG service initialized | |
| 2025-05-13 11:44:35,953 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:44:35,954 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:44:35,954 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:44:35,954 - INFO - RAG service initialized | |
| 2025-05-13 11:44:35,959 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:44:35,959 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:44:40,987 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 11:44:40,987 - INFO - Found 10 papers | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 11:44:40,988 - INFO - Embedding 38 documents... | |
| 2025-05-13 11:44:41,443 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 11:44:41,465 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:46:31,319 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:46:31,320 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:46:31,321 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:46:31,321 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:46:31,322 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:31,322 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:31,349 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:31,350 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:33,024 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:46:33,026 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:46:33,026 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:46:33,026 - INFO - RAG service initialized | |
| 2025-05-13 11:46:33,150 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:46:33,150 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:46:33,151 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:46:33,151 - INFO - RAG service initialized | |
| 2025-05-13 11:46:33,880 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:46:33,881 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:46:33,881 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:33,883 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:46:35,503 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:46:35,503 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:46:35,503 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:46:35,503 - INFO - RAG service initialized | |
| 2025-05-13 11:46:35,508 - INFO - Searching ArXiv with query: explain quantum computing simple terms AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:46:35,510 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=explain+quantum+computing+simple+terms+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:46:38,136 - INFO - Got first page: 5 of 51246 total results | |
| 2025-05-13 11:46:38,138 - INFO - Sleeping: 2.981921 seconds | |
| 2025-05-13 11:46:41,131 - INFO - Requesting page (first: False, try: 0): https://export.arxiv.org/api/query?search_query=explain+quantum+computing+simple+terms+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=5&max_results=100 | |
| 2025-05-13 11:46:43,625 - INFO - Found 10 papers | |
| 2025-05-13 11:46:43,625 - INFO - Split paper 'Deep Robot Sketching: An application of Deep Q-Learning Networks for human-like sketching' into 5 chunks | |
| 2025-05-13 11:46:43,625 - INFO - Split paper 'Hallucinative Topological Memory for Zero-Shot Visual Planning' into 5 chunks | |
| 2025-05-13 11:46:43,625 - INFO - Split paper 'Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification' into 4 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'ALFWorld: Aligning Text and Embodied Environments for Interactive Learning' into 4 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'Instruction-driven history-aware policies for robotic manipulations' into 4 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks' into 3 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation' into 5 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences' into 4 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'Learning Various Length Dependence by Dual Recurrent Neural Networks' into 5 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Split paper 'Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection' into 4 chunks | |
| 2025-05-13 11:46:43,626 - INFO - Embedding 43 documents... | |
| 2025-05-13 11:46:44,878 - INFO - Added 43 documents to vector database. Total: 43 | |
| 2025-05-13 11:46:44,972 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:48:00,535 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:48:00,536 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:48:00,539 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:48:00,539 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:48:00,539 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:00,540 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:00,561 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:00,563 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:02,123 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:48:02,125 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:48:02,126 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:48:02,126 - INFO - RAG service initialized | |
| 2025-05-13 11:48:02,172 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:48:02,172 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:48:02,172 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:48:02,172 - INFO - RAG service initialized | |
| 2025-05-13 11:48:02,622 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:48:02,622 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:48:02,622 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:02,626 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:48:04,354 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:48:04,354 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:48:04,354 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:48:04,354 - INFO - RAG service initialized | |
| 2025-05-13 11:48:04,356 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:48:04,356 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:48:07,751 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 11:48:07,752 - INFO - Found 10 papers | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 11:48:07,753 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 11:48:07,754 - INFO - Embedding 38 documents... | |
| 2025-05-13 11:48:08,853 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 11:48:08,887 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:49:30,903 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:49:30,904 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:49:30,914 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:30,932 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:30,946 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:49:30,947 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:49:30,947 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:30,953 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:32,473 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:49:32,474 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:49:32,474 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:49:32,474 - INFO - RAG service initialized | |
| 2025-05-13 11:49:32,737 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:49:32,737 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:49:32,737 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:49:32,738 - INFO - RAG service initialized | |
| 2025-05-13 11:49:46,089 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:49:46,089 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:49:46,090 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:49:46,090 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:49:46,090 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:46,090 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:46,095 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:46,096 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:49:47,909 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:49:47,910 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:49:47,910 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:49:47,910 - INFO - RAG service initialized | |
| 2025-05-13 11:49:47,967 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:49:47,967 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:49:47,967 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:49:47,967 - INFO - RAG service initialized | |
| 2025-05-13 11:50:33,879 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:50:33,880 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:50:33,881 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:50:33,881 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:50:33,881 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:50:33,881 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:50:33,889 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:50:33,890 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:50:35,444 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:50:35,444 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:50:35,444 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:50:35,445 - INFO - RAG service initialized | |
| 2025-05-13 11:50:51,347 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:50:51,347 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:50:51,347 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:50:51,347 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:50:51,347 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 11:54:52,413 - INFO - ArXiv API service initialized | |
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| 2025-05-13 11:54:52,418 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:54:54,399 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:55:10,708 - INFO - Embedding dimension: 384 | |
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| 2025-05-13 11:55:10,714 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:55:10,714 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:55:12,462 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 11:55:12,463 - INFO - Found 10 papers | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 11:55:12,463 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 11:55:12,464 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 11:55:12,464 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 11:55:12,464 - INFO - Embedding 38 documents... | |
| 2025-05-13 11:55:13,339 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 11:55:13,393 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:55:39,493 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:39,494 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:39,495 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,502 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:39,504 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:39,505 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,506 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,509 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:39,509 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:39,510 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:39,510 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:39,511 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,511 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,515 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,520 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:39,521 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:41,075 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:41,075 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:41,075 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:41,075 - INFO - RAG service initialized | |
| 2025-05-13 11:55:41,134 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:41,134 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:41,134 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:41,134 - INFO - RAG service initialized | |
| 2025-05-13 11:55:41,227 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:41,227 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:41,227 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:41,227 - INFO - RAG service initialized | |
| 2025-05-13 11:55:41,278 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:41,278 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:41,278 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:41,278 - INFO - RAG service initialized | |
| 2025-05-13 11:55:50,803 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:50,803 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:55:50,804 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:50,804 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:55:50,804 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:50,804 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:50,810 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:50,812 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:55:52,557 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:52,558 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:52,558 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:52,558 - INFO - RAG service initialized | |
| 2025-05-13 11:55:52,611 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:55:52,611 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:55:52,612 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:55:52,612 - INFO - RAG service initialized | |
| 2025-05-13 11:56:07,132 - INFO - Application started | |
| 2025-05-13 11:56:08,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:56:08,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:56:08,958 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:56:08,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:56:08,958 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:56:08,958 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:56:08,958 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,958 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:56:08,959 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,959 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:56:08,959 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,960 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,963 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,964 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,965 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:08,967 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:56:11,191 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:56:11,192 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:56:11,192 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:56:11,192 - INFO - RAG service initialized | |
| 2025-05-13 11:56:11,199 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:56:11,199 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:56:11,199 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:56:11,199 - INFO - RAG service initialized | |
| 2025-05-13 11:56:11,271 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:56:11,272 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:56:11,272 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:56:11,272 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:56:11,273 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:56:11,273 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:56:11,273 - INFO - RAG service initialized | |
| 2025-05-13 11:56:11,273 - INFO - RAG service initialized | |
| 2025-05-13 11:57:16,443 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:16,445 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:16,445 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:16,450 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:17,985 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:17,986 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:17,986 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:17,986 - INFO - RAG service initialized | |
| 2025-05-13 11:57:17,989 - INFO - Searching ArXiv with query: hol AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:57:17,990 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=hol+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:57:19,622 - INFO - Got first page: 72 of 72 total results | |
| 2025-05-13 11:57:19,623 - INFO - Found 10 papers | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages' into 4 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework' into 5 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'HOL(y)Hammer: Online ATP Service for HOL Light' into 4 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Lemma Mining over HOL Light' into 3 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Theorem Proving in Dependently-Typed Higher-Order Logic -- Extended Preprint' into 3 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Simple Dataset for Proof Method Recommendation in Isabelle/HOL (Dataset Description)' into 3 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Sharing HOL4 and HOL Light proof knowledge' into 4 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Formal Semantics and Formally Verified Validation for Temporal Planning' into 2 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'Learning-Assisted Automated Reasoning with Flyspeck' into 4 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Split paper 'HOList: An Environment for Machine Learning of Higher-Order Theorem Proving' into 3 chunks | |
| 2025-05-13 11:57:19,624 - INFO - Embedding 35 documents... | |
| 2025-05-13 11:57:20,620 - INFO - Added 35 documents to vector database. Total: 35 | |
| 2025-05-13 11:57:20,657 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:57:33,295 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:33,296 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:33,296 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:33,309 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:35,393 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:35,394 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:35,394 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:35,394 - INFO - RAG service initialized | |
| 2025-05-13 11:57:44,209 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:44,210 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:44,211 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,212 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:44,212 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:44,212 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:57:44,212 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:44,212 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:44,213 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:57:44,213 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,213 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,213 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,219 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,220 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,221 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:44,224 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:57:45,806 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:45,807 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:45,807 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:45,807 - INFO - RAG service initialized | |
| 2025-05-13 11:57:45,851 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:45,851 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:45,851 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:45,851 - INFO - RAG service initialized | |
| 2025-05-13 11:57:45,920 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:45,920 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:45,920 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:45,920 - INFO - RAG service initialized | |
| 2025-05-13 11:57:46,523 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:57:46,524 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:57:46,524 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:57:46,524 - INFO - RAG service initialized | |
| 2025-05-13 11:58:08,644 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:58:08,645 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:58:08,645 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:08,651 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:10,155 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:58:10,155 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:58:10,156 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:58:10,156 - INFO - RAG service initialized | |
| 2025-05-13 11:58:10,157 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:58:10,157 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:58:11,878 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 11:58:11,879 - INFO - Found 10 papers | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 11:58:11,879 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 11:58:11,880 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 11:58:11,880 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 11:58:11,880 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 11:58:11,880 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 11:58:11,880 - INFO - Embedding 38 documents... | |
| 2025-05-13 11:58:12,677 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 11:58:12,705 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 11:58:43,076 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:58:43,077 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:58:43,077 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:43,082 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:44,847 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:58:44,847 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:58:44,847 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:58:44,848 - INFO - RAG service initialized | |
| 2025-05-13 11:58:44,853 - INFO - Searching ArXiv with query: rag AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 11:58:44,853 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=rag+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 11:58:46,424 - INFO - Got first page: 100 of 1760 total results | |
| 2025-05-13 11:58:46,425 - INFO - Found 10 papers | |
| 2025-05-13 11:58:46,425 - INFO - Split paper 'Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding' into 5 chunks | |
| 2025-05-13 11:58:46,425 - INFO - Split paper 'RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models' into 4 chunks | |
| 2025-05-13 11:58:46,425 - INFO - Split paper 'RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models' into 5 chunks | |
| 2025-05-13 11:58:46,425 - INFO - Split paper 'RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions' into 4 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities' into 5 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models' into 5 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge' into 5 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering' into 4 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning' into 4 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Split paper 'LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning' into 4 chunks | |
| 2025-05-13 11:58:46,426 - INFO - Embedding 45 documents... | |
| 2025-05-13 11:58:47,021 - INFO - Added 45 documents to vector database. Total: 45 | |
| 2025-05-13 11:58:54,660 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:58:54,661 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:58:54,661 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:54,665 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:54,696 - INFO - ArXiv API service initialized | |
| 2025-05-13 11:58:54,696 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 11:58:54,696 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:54,698 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 11:58:56,418 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:58:56,419 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:58:56,419 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:58:56,419 - INFO - RAG service initialized | |
| 2025-05-13 11:58:56,767 - INFO - Embedding dimension: 384 | |
| 2025-05-13 11:58:56,768 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 11:58:56,769 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 11:58:56,771 - INFO - RAG service initialized | |
| 2025-05-13 12:01:00,964 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:00,965 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:00,967 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:00,978 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:02,602 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:02,603 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:02,604 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:02,604 - INFO - RAG service initialized | |
| 2025-05-13 12:01:10,725 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:10,725 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:10,726 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:10,732 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:12,716 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:12,716 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:12,717 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:12,717 - INFO - RAG service initialized | |
| 2025-05-13 12:01:30,345 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:30,345 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:30,346 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:30,349 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:32,250 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:32,251 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:32,251 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:32,251 - INFO - RAG service initialized | |
| 2025-05-13 12:01:41,925 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:41,926 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:41,927 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:41,928 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:41,928 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,928 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:41,928 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,929 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:41,930 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:41,930 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,930 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:41,931 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,937 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,938 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,939 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:41,940 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:43,431 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:43,431 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:43,432 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:43,432 - INFO - RAG service initialized | |
| 2025-05-13 12:01:43,475 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:43,475 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:43,475 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:43,475 - INFO - RAG service initialized | |
| 2025-05-13 12:01:43,526 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:43,526 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:43,526 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:43,526 - INFO - RAG service initialized | |
| 2025-05-13 12:01:43,935 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:43,935 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:43,935 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:43,935 - INFO - RAG service initialized | |
| 2025-05-13 12:01:44,590 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:01:44,591 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:01:44,591 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:44,594 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:01:46,114 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:01:46,115 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:01:46,115 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:01:46,115 - INFO - RAG service initialized | |
| 2025-05-13 12:01:46,116 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 12:01:46,116 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 12:01:47,975 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 12:01:47,976 - INFO - Found 10 papers | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 12:01:47,977 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 12:01:47,978 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 12:01:47,978 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 12:01:47,978 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 12:01:47,978 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 12:01:47,978 - INFO - Embedding 38 documents... | |
| 2025-05-13 12:01:48,895 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 12:01:48,933 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 12:02:47,556 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:02:47,562 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:02:47,565 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:02:47,565 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:02:47,566 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:47,565 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:47,580 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:02:47,584 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:02:47,584 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:47,597 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:47,600 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:47,603 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:50,412 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:02:50,414 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:02:50,414 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:02:50,414 - INFO - RAG service initialized | |
| 2025-05-13 12:02:50,534 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:02:50,534 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:02:50,534 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:50,540 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:02:50,629 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:02:50,630 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:02:50,630 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:02:50,630 - INFO - RAG service initialized | |
| 2025-05-13 12:02:52,500 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:02:52,501 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:02:52,501 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:02:52,501 - INFO - RAG service initialized | |
| 2025-05-13 12:02:52,502 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 12:02:52,502 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 12:02:54,395 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 12:02:54,397 - INFO - Found 10 papers | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 12:02:54,397 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 12:02:54,398 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 12:02:54,398 - INFO - Embedding 38 documents... | |
| 2025-05-13 12:02:55,299 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 12:02:55,337 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 12:03:04,730 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:03:04,731 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:03:04,731 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:04,738 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:06,399 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:03:06,400 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:03:06,400 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:03:06,400 - INFO - RAG service initialized | |
| 2025-05-13 12:03:06,401 - INFO - Searching ArXiv with query: rag AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 12:03:06,401 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=rag+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 12:03:08,079 - INFO - Got first page: 100 of 1760 total results | |
| 2025-05-13 12:03:08,080 - INFO - Found 10 papers | |
| 2025-05-13 12:03:08,080 - INFO - Split paper 'Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding' into 5 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models' into 4 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models' into 5 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions' into 4 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities' into 5 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models' into 5 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge' into 5 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering' into 4 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning' into 4 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Split paper 'LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning' into 4 chunks | |
| 2025-05-13 12:03:08,081 - INFO - Embedding 45 documents... | |
| 2025-05-13 12:03:08,669 - INFO - Added 45 documents to vector database. Total: 45 | |
| 2025-05-13 12:03:28,974 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:03:28,975 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:03:28,976 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:03:28,976 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:03:28,976 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:28,976 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:28,983 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:28,984 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:30,817 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:03:30,818 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:03:30,818 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:03:30,818 - INFO - RAG service initialized | |
| 2025-05-13 12:03:30,954 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:03:30,955 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:03:30,955 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:03:30,955 - INFO - RAG service initialized | |
| 2025-05-13 12:03:32,064 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:03:32,065 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:03:32,065 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:32,072 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:33,706 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:03:33,706 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:03:33,706 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:03:33,706 - INFO - RAG service initialized | |
| 2025-05-13 12:03:34,175 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:03:34,176 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:03:34,176 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:34,179 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:03:37,326 - INFO - Embedding dimension: 384 | |
| 2025-05-13 12:03:37,326 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 12:03:37,326 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 12:03:37,326 - INFO - RAG service initialized | |
| 2025-05-13 12:03:37,327 - INFO - Searching ArXiv with query: latest developments computer vision AND (cat:cs.CV OR cat:cs.LG OR cat:cs.CL OR cat:cs.AI OR cat:cs.NE OR cat:cs.RO) | |
| 2025-05-13 12:03:37,327 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+developments+computer+vision+AND+%28cat%3Acs.CV+OR+cat%3Acs.LG+OR+cat%3Acs.CL+OR+cat%3Acs.AI+OR+cat%3Acs.NE+OR+cat%3Acs.RO%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 12:03:38,958 - INFO - Got first page: 100 of 162196 total results | |
| 2025-05-13 12:03:38,959 - INFO - Found 10 papers | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'Ivy: Templated Deep Learning for Inter-Framework Portability' into 4 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models' into 4 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement' into 3 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'Tutorial on Answering Questions about Images with Deep Learning' into 3 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'pix2code: Generating Code from a Graphical User Interface Screenshot' into 2 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking' into 5 chunks | |
| 2025-05-13 12:03:38,959 - INFO - Split paper 'hyper-sinh: An Accurate and Reliable Function from Shallow to Deep Learning in TensorFlow and Keras' into 3 chunks | |
| 2025-05-13 12:03:38,960 - INFO - Split paper 'LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking' into 5 chunks | |
| 2025-05-13 12:03:38,960 - INFO - Split paper 'ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes' into 4 chunks | |
| 2025-05-13 12:03:38,960 - INFO - Split paper 'On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving' into 5 chunks | |
| 2025-05-13 12:03:38,960 - INFO - Embedding 38 documents... | |
| 2025-05-13 12:03:39,792 - INFO - Added 38 documents to vector database. Total: 38 | |
| 2025-05-13 12:03:39,832 - INFO - Generating response with model: mistralai/Mistral-7B-Instruct-v0.3 | |
| 2025-05-13 12:05:23,701 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:05:23,702 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:05:23,702 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:05:23,702 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:05:23,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:05:23,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:05:23,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:05:23,703 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:05:23,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,703 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,712 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,713 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,714 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:05:23,715 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
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| 2025-05-13 12:10:52,740 - INFO - ArXiv API service initialized | |
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| 2025-05-13 12:10:52,742 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:10:52,742 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:10:52,742 - INFO - ArXiv API service initialized | |
| 2025-05-13 12:10:52,743 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,744 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,745 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:10:52,746 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 12:10:52,754 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,755 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,761 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,765 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,777 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 12:10:52,783 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:14:08,234 - INFO - Application started | |
| 2025-05-13 15:16:29,655 - INFO - ArXiv API service initialized | |
| 2025-05-13 15:16:29,656 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 15:16:29,656 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:18:41,859 - INFO - Application shut down | |
| 2025-05-13 15:18:47,570 - INFO - Application started | |
| 2025-05-13 15:18:54,991 - INFO - ArXiv API service initialized | |
| 2025-05-13 15:18:54,991 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 15:18:54,991 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:18:54,992 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:18:56,823 - INFO - Embedding dimension: 384 | |
| 2025-05-13 15:18:56,823 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 15:18:56,823 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 15:18:56,823 - INFO - RAG service initialized | |
| 2025-05-13 15:18:56,825 - INFO - Searching ArXiv with query: latest advancements quantum computing AND (cat:cs.LG OR cat:quant-ph) | |
| 2025-05-13 15:18:56,826 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+advancements+quantum+computing+AND+%28cat%3Acs.LG+OR+cat%3Aquant-ph%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 15:19:00,019 - INFO - Got first page: 100 of 144552 total results | |
| 2025-05-13 15:19:00,019 - INFO - Found 10 papers | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead' into 4 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers' into 3 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems' into 4 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey' into 5 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Quantum Supervised Learning' into 4 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'What is my quantum computer good for? Quantum capability learning with physics-aware neural networks' into 4 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Quantum-Assisted Clustering Algorithms for NISQ-Era Devices' into 3 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Benchmarking MedMNIST dataset on real quantum hardware' into 5 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'From Quantum Graph Computing to Quantum Graph Learning: A Survey' into 4 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Split paper 'Advances in Quantum Deep Learning: An Overview' into 3 chunks | |
| 2025-05-13 15:19:00,020 - INFO - Embedding 39 documents... | |
| 2025-05-13 15:19:00,427 - INFO - Added 39 documents to vector database. Total: 39 | |
| 2025-05-13 15:26:36,585 - INFO - Application shut down | |
| 2025-05-13 15:26:44,582 - INFO - Application started | |
| 2025-05-13 15:26:46,505 - INFO - Application shut down | |
| 2025-05-13 15:26:51,494 - INFO - Application started | |
| 2025-05-13 15:26:56,341 - INFO - Application started | |
| 2025-05-13 15:27:24,810 - INFO - ArXiv API service initialized | |
| 2025-05-13 15:27:24,811 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 15:27:24,811 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:27:24,814 - INFO - Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:27:27,035 - INFO - Embedding dimension: 384 | |
| 2025-05-13 15:27:27,036 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 15:27:27,036 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 15:27:27,036 - INFO - RAG service initialized | |
| 2025-05-13 15:27:27,039 - INFO - Searching ArXiv with query: latest advancements quantum computing AND (cat:cs.LG OR cat:quant-ph) | |
| 2025-05-13 15:27:27,040 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+advancements+quantum+computing+AND+%28cat%3Acs.LG+OR+cat%3Aquant-ph%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 15:27:31,218 - INFO - Got first page: 100 of 144553 total results | |
| 2025-05-13 15:27:31,219 - INFO - Found 10 papers | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead' into 4 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers' into 3 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems' into 4 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey' into 5 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Quantum Supervised Learning' into 4 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'What is my quantum computer good for? Quantum capability learning with physics-aware neural networks' into 4 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Quantum-Assisted Clustering Algorithms for NISQ-Era Devices' into 3 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Benchmarking MedMNIST dataset on real quantum hardware' into 5 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'From Quantum Graph Computing to Quantum Graph Learning: A Survey' into 4 chunks | |
| 2025-05-13 15:27:31,219 - INFO - Split paper 'Advances in Quantum Deep Learning: An Overview' into 3 chunks | |
| 2025-05-13 15:27:31,220 - INFO - Embedding 39 documents... | |
| 2025-05-13 15:27:31,612 - INFO - Added 39 documents to vector database. Total: 39 | |
| 2025-05-13 15:52:38,024 - INFO - Application started | |
| 2025-05-13 15:54:29,937 - INFO - ArXiv API service initialized | |
| 2025-05-13 15:54:29,937 - INFO - Document processor initialized with chunk_size=500, chunk_overlap=50 | |
| 2025-05-13 15:54:29,937 - INFO - Loading embedding model: sentence-transformers/all-MiniLM-L6-v2 | |
| 2025-05-13 15:54:32,054 - INFO - Embedding dimension: 384 | |
| 2025-05-13 15:54:32,055 - INFO - Vector database initialized with dimension 384 | |
| 2025-05-13 15:54:32,055 - INFO - LLM service initialized with 3 supported models | |
| 2025-05-13 15:54:32,055 - INFO - RAG service initialized | |
| 2025-05-13 15:54:32,060 - INFO - Searching ArXiv with query: latest advancements quantum computing AND (cat:cs.LG OR cat:quant-ph) | |
| 2025-05-13 15:54:32,060 - INFO - Requesting page (first: True, try: 0): https://export.arxiv.org/api/query?search_query=latest+advancements+quantum+computing+AND+%28cat%3Acs.LG+OR+cat%3Aquant-ph%29&id_list=&sortBy=relevance&sortOrder=descending&start=0&max_results=100 | |
| 2025-05-13 15:54:40,855 - INFO - Got first page: 100 of 144553 total results | |
| 2025-05-13 15:54:40,857 - INFO - Found 10 papers | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead' into 4 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers' into 3 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems' into 4 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey' into 5 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'Quantum Supervised Learning' into 4 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'What is my quantum computer good for? Quantum capability learning with physics-aware neural networks' into 4 chunks | |
| 2025-05-13 15:54:40,857 - INFO - Split paper 'Quantum-Assisted Clustering Algorithms for NISQ-Era Devices' into 3 chunks | |
| 2025-05-13 15:54:40,858 - INFO - Split paper 'Benchmarking MedMNIST dataset on real quantum hardware' into 5 chunks | |
| 2025-05-13 15:54:40,858 - INFO - Split paper 'From Quantum Graph Computing to Quantum Graph Learning: A Survey' into 4 chunks | |
| 2025-05-13 15:54:40,858 - INFO - Split paper 'Advances in Quantum Deep Learning: An Overview' into 3 chunks | |
| 2025-05-13 15:54:40,858 - INFO - Embedding 39 documents... | |
| 2025-05-13 15:54:41,290 - INFO - Added 39 documents to vector database. Total: 39 | |
| 2025-05-13 16:02:27,789 - INFO - Application shut down | |
| 2025-05-13 16:02:32,023 - INFO - Application started | |
| 2025-05-13 16:02:36,171 - INFO - Application shut down | |
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| 2025-05-13 16:02:47,247 - INFO - Application shut down | |
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| 2025-05-13 16:02:53,878 - INFO - Application started | |