saishshinde15/MCP_Server_For_VectorDB
3.2
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This project implements a simplified agentic RAG system using LangChain, Google's Gemini 2.0 Flash model, Serper API, Chroma, and MCP for the agent framework.
Tools
Functions exposed to the LLM to take actions
search_vector_store
Retrieves information from the vector database.
search_web
Performs web searches using the Serper API.
answer_question
Generates answers using Gemini with vector store context.
rag_pipeline
Combines all tools into a complete RAG pipeline.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client