What is Watsonx RAG MCP Server?
The Watsonx RAG MCP Server is a tutorial project that guides users in building a Retrieval-Augmented Generation (RAG) server using IBM Watsonx.ai, ChromaDB for vector indexing, and the Model Context Protocol (MCP) Python SDK. This server processes PDF documents and allows users to query them using a chatbot interface.
How to use Watsonx RAG MCP Server?
To use the server, set up your environment by installing the required Python packages, configure your Watsonx.ai credentials in a .env file, and place your PDF documents in the designated folder. Run the client script, which will start the server and allow you to ask questions about the content of the PDFs.
Key features of Watsonx RAG MCP Server?
- Integration with IBM Watsonx.ai for natural language processing.
- Use of ChromaDB for efficient vector indexing of PDF content.
- Ability to answer queries based on specific document content.
- Simple command-line interface for user interaction.
Use cases of Watsonx RAG MCP Server?
- Answering questions about technical manuals or documentation.
- Providing customer support based on product manuals.
- Assisting in educational contexts by querying academic papers.
FAQ from Watsonx RAG MCP Server?
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Can I use any PDF documents?
Yes, as long as they are readable and not password-protected. -
Is there a limit to the number of documents I can process?
No, but performance may vary based on the number and size of documents. -
How accurate are the responses?
The accuracy depends on the quality of the documents and the relevance of the content to the queries.