This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

A server based on the Model Context Protocol (MCP) for securely interacting with Watson Discovery and supporting query operations through natural language processing.

This project is a Python chatbot server based on IBM Watsonx.ai and the MCP protocol. It provides medical consultation functions, supports building a Web interface through Flask, and realizes symptom diagnosis and personalized greetings.