Update app.py

app.py

@@ -78,10 +78,11 @@ with gr.Blocks() as server_info:
 
     I present to you an MCP-powered RAG and Research.
 
-    RAG Tool uses the GroundX service to fetch the knowledge base. The knowledge base is a document that contains information about the SU-35 aircraft, including its features, capabilities, and specifications.
+    RAG Tool uses the knowledge base stored on the **GroundX by eyelevel.ai**. The knowledge base is a document that contains information about the SU-35 aircraft, including its features, capabilities, and specifications.
     Please check [this PDF](https://airgroup2000.com/gallery/albums/userpics/32438/SU-35_TM_eng.pdf) to formulate queries on Sukhoi.
 
-    The Research Tool is implemented using multi-agent workflow using LlamaIndex (ResearchAgent, WriteAgent, and ReviewAgent).
+    The Research Tool is implemented using multi-agent workflow using **LlamaIndex** (ResearchAgent, WriteAgent, and ReviewAgent).
+    The Agents uses LLM provided by **Nebius**
 
     ## Available Tools