kukuhtw/mcp_rag_go
The MCP-RAG project is an AI agent framework based on the Multi-Context Protocol that connects various data sources (MySQL, documents, RAG search) with LLMs. It supports HTTP API, SSE chat, an MCP router, batch workers, and a React + Tailwind frontend.
This project helps professionals in the oil and gas industry get quick, accurate answers to questions by connecting scattered operational data and documents. You input natural language questions, and it delivers answers with citations from drilling reports, production data, HSSE records, purchase orders, and technical documents. It's designed for operations managers, analysts, and decision-makers who need to access cross-domain information efficiently.
No commits in the last 6 months.
Use this if you frequently need to combine information from various operational systems and documents in the oil and gas sector to answer questions that currently take days to resolve.
Not ideal if your organization doesn't operate in the oil and gas industry or if your data is already unified in a single, easily queryable system.
Stars
8
Forks
3
Language
Go
License
Apache-2.0
Category
Last pushed
Sep 23, 2025
Commits (30d)
0
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