Upload 5 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+chroma.sqlite3 filter=lfs diff=lfs merge=lfs -text

build_vector_store.py

@@ -0,0 +1,47 @@
+import os
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_community.vectorstores import Chroma
+
+# 1. 设置路径
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))  # 当前脚本所在路径
+PERSIST_DIR = os.path.abspath(os.path.join(BASE_DIR, "../vector_store"))  # 向量库存储路径
+SOURCE_DIR = BASE_DIR  # 你的 .md 文件就在当前 vector_build/ 目录下
+
+# 2. 加载 Embedding 模型
+embed_model = HuggingFaceEmbeddings(
+    model_name="sentence-transformers/paraphrase-multilingual-mpnet-base-v2"
+)
+
+# 3. 加载 Markdown 文件 & 切分为小段
+text_splitter = RecursiveCharacterTextSplitter(
+    chunk_size=500, chunk_overlap=50
+)
+
+docs = []
+for fname in os.listdir(SOURCE_DIR):
+    if fname.endswith(".md"):
+        with open(os.path.join(SOURCE_DIR, fname), "r", encoding="utf-8") as f:
+            raw_text = f.read()
+        chunks = text_splitter.split_text(raw_text)
+        for chunk in chunks:
+            docs.append({
+                "text": chunk,
+                "source": fname
+            })
+
+print(f"🐣 共切分出 {len(docs)} 个文本块，准备向量化...")
+
+# 4. 创建 Chroma 向量库
+texts = [d["text"] for d in docs]
+metas = [{"source": d["source"]} for d in docs]
+
+vectordb = Chroma.from_texts(
+    texts=texts,
+    embedding=embed_model,
+    metadatas=metas,
+    persist_directory=PERSIST_DIR
+)
+vectordb.persist()
+
+print(f"🎉 向量库生成完毕，已保存在：{PERSIST_DIR}")

chroma.sqlite3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f7a7a249bf3b1b4e7dd730cde0985cdf0220c849e5deeca31d4df7c912720f2
+size 22417408

index_metadata.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d2130d448d160bb76ed65984a84859d3d6b645d4a3bf09971b32e2eb4defe63
+size 213668