Building a Watsonx.ai Chatbot RAG Server with MCP

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This technical guide details the process of constructing a full-featured RAG server with IBM Watsonx.ai and ChromaDB for vector indexing. It explains how to expose the server via the Model Context Protocol (MCP) Python SDK to process PDF documents and enable querying, with integration into Claude Desktop. The article covers prerequisites, project setup, environment configuration, and server implementation.

Building a Watsonx.ai Chatbot RAG Server with MCP

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