RAG Application MCP Server

What is RAG Application?

RAG Application is a demo of Retrieval-Augmented Generation (RAG) that integrates an MCP server. It retrieves relevant documents using vector search with ChromaDB, builds context-aware prompts, and sends them to an LLM API to answer questions about a company.

How to use RAG Application?

Install dependencies with pip install -r requirements.txt, set the OPENAI_API_KEY in a .env file, then connect the MCP server via Claude Desktop, Cursor, or another compatible IDE. Use the process_query tool to ask questions about the company.

Key features of RAG Application

• MCP server integration
• Document retrieval using vector search with ChromaDB
• Context-aware prompt generation
• Integration with LLM APIs

Use cases of RAG Application

• Ask questions about a company using its stored documents
• Integrate retrieval-augmented generation into MCP‑compatible tools (e.g., Claude Desktop, Cursor)
• Demonstrate a RAG pipeline with vector search and LLM API calls