JIEAO-re/ragx

A self-developed RAG retrieval system combining the strengths of multiple approaches: strong parsing + hybrid retrieval (BGE-M3 dense+sparse + Qdrant RRF) + reranking + agentic answers with citations; core engine + MCP + REST (including OpenAI-compatible /v1/chat/completions)

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ragx

JIEAO-re/ragx

MCP server Claude CodeCodexCursor +2

MCP server "ragx" as configured in JIEAO-re/ragx. Runs locally from the ragx Python package.

not rated 2 4mo ago A tokens not measured original MIT