{"repo":"lyonzin/knowledge-rag","free":true,"listed":false,"github":"https://github.com/lyonzin/knowledge-rag","clone":"git clone https://github.com/lyonzin/knowledge-rag.git","description":"Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.","language":"Python","stars":255,"topics":["claude","claude-code","local-ai","mcp","rag","retrieval-augmented-generation","semantic-search","vector-database","knowledge-base","reranking"],"license":"MIT","category":"ai-agents","readme_excerpt":"knowledge-rag The MCP-first local RAG server for Claude Code, Cursor, and every AI agent. Hybrid search · Cross-encoder reranking · 20 file formats · 100% local · Zero cloud · Enterprise-grade plumbing built-in. Quick Start · Why knowledge-rag · Compare · Enterprise Features · Docs --- ⭐ Star History Chart updated daily by GitHub Action --- 🎯 Why knowledge-rag Most RAG frameworks fall into one of three traps: (1) they require you to ship your data to a cloud API, (2) they hand you 300 building blocks and 0 opinionated defaults, or (3) they bundle RAG as a 5% feature of a much bigger platform you didn't ask for. knowledge-rag does one thing well: it is the MCP-native local RAG server that Claude Code, Cursor, Windsurf, VS Code, Cline, Gemini CLI and Zed can search out of the box — with enterprise plumbing (bearer auth, Prometheus metrics, rate limiting, health probes, structured JSON logging, zero-downtime reindex) that no other RAG-focused OSS ships built-in. 🔒 100% local, 0% cloud Your files never leave the machine. No vendor lock-in, no data-residency headache, no forced cloud dependency. LGPD / GDPR / HIPAA compliant by architecture — because there is nothing to comply about when nothing leaves. 🚀 Zero-friction setup pip install knowledge-rag → restart your MCP client → done. No Docker mandatory. No Ollama required. No separate embedding server. Everything runs in-process via FastEmbed ONNX. Works offline after the first model download. 🛡️ Production-grade OSS 7-pillar","default_branch":null,"files":null,"tree":[],"storefront":"/r/lyonzin","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lyonzin/knowledge-rag/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}