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Watsonx Rag MCP Server

Watsonx Rag MCP Server

本项目构建了一个基于IBM Watsonx.ai的检索增强生成(RAG)服务器,使用ChromaDB进行向量索引,并通过模型上下文协议(MCP)暴露接口。该系统能够处理PDF文档并基于文档内容回答问题,实现了将大型语言模型与特定领域知识相结
2.5分
1
2025-04-29 01:18:12
概述
内容详情
替代品

What is Watsonx.ai RAG Chatbot?

This server allows you to ask questions about your PDF documents (like manuals or reports) and get accurate answers. It combines IBM's powerful AI with your specific documents to provide knowledgeable responses.

How to use this service?

Simply add your PDFs to the documents folder, run the server, and ask questions through the web interface or Claude Desktop. The system will find relevant information from your documents and generate answers.

Ideal Use Cases

Perfect for technical support (product manuals), research (paper analysis), compliance (policy documents), and any scenario where you need quick answers from lengthy documents.

Key Features

Document UnderstandingExtracts and understands content from your PDF documents automatically.
Smart Question AnsweringProvides accurate answers based specifically on your documents, not general knowledge.
Claude Desktop IntegrationWorks seamlessly within Claude Desktop through MCP protocol.
Persistent Knowledge BaseRemembers your documents between sessions for quick access.

Strengths and Limitations

Strengths
Provides document-specific answers rather than generic information
Easy to set up with minimal technical knowledge required
Works with existing PDFs without modification
Can handle technical and specialized content effectively
Limitations
Requires initial document processing time
Answers are only as good as the source documents
May struggle with very complex queries spanning multiple documents
PDF formatting can sometimes affect text extraction quality

Getting Started

Prepare your documentsPlace all PDF files you want to query in the 'documents' folder.
Configure credentialsCreate a .env file with your Watsonx.ai API key and project details.
Run the serverStart the server which will process your documents (first time may take longer).
Ask questionsUse either the web interface (port 5001) or integrate with Claude Desktop.

Example Use Cases

Technical Product SupportAnswer customer questions about product features and specifications using the product manual.
Research Paper AnalysisQuickly find key information across multiple academic papers.
Policy ComplianceVerify company policies by querying policy documents.

Frequently Asked Questions

1
Why isn't the server finding answers in my documents?First check that: 1) PDFs are in the documents folder, 2) PDFs contain selectable text (not scanned images), 3) You've restarted the server after adding new documents.
2
How do I update the documents?Add new PDFs to the documents folder and delete the chroma_db_data directory, then restart the server to rebuild the knowledge base.
3
Can I use this with other LLMs besides Watsonx?Yes, the architecture supports other LLMs but would require modifying the server.py code to use a different API.
4
How do I integrate with Claude Desktop?Edit the claude_desktop_config.json file to point to your server.py location and restart Claude.

Additional Resources

IBM Watsonx.ai DocumentationOfficial documentation for IBM's Watsonx.ai service
Model Context Protocol (MCP) GitHubTechnical details about the MCP standard
ChromaDB DocumentationInformation about the vector database used
Claude Desktop DownloadGet the Claude Desktop application
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