About knowledge-rag on AIStoreHub
Description: Local RAG server for Claude Code, Cursor and other MCP clients: hybrid BM25 + vector search with cross-encoder reranking on by default, 13 MCP tools, 33 file types including code, re-indexing on file changes. One Python process with embedded ChromaDB and FastEmbed ONNX: no Docker, database server or API key; offline after the first model download.
Asset Type: mcp_server (developer-tools).
Compatible Foundation Models: Frontier LLMs (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro).
How to install or reuse: Using the official AIStoreHub CLI:pip install aistorehub && aihub pull community/knowledge-rag
