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H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
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Cosa SAI (Gemini Docs)
A document query MCP server based on the Gemini API, providing intelligent Q&A services for technical documents.
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2.5 points
MCP Rag Go
This is an MCP+RAG proof-of-concept project for the oil and gas industry. It automatically distributes user queries to the correct domain services (such as drilling, production, procurement, etc.) through intelligent routing and combines hybrid retrieval technology to obtain accurate information from documents, providing answers with references to achieve fast and unified access to cross-domain data.
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Langflow DOC QA SERVER
A document Q&A MCP server based on Langflow that provides a document query interface implemented in TypeScript and supports integration with Claude Desktop.
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MCP Qdrant Docs
An MCP server based on TypeScript that can crawl website content and store it in the Qdrant vector database, providing a Q&A tool for users to query the indexed content.
TypeScript
8.5K
2 points
Langflow Document QA
Document Q&A MCP server based on Langflow
TypeScript
9.6K
2.5 points
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