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lyonzin/knowledge-rag

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[![lyonzin/knowledge-rag MCP server](https://glama.ai/mcp/servers/lyonzin/knowledge-rag/badges/score.svg)](https://glama.ai/mcp/servers/lyonzin/knowledge-rag) 🐍 🏠 🍎 🪟 🐧 - Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query ex

<p><strong>lyonzin/knowledge-rag</strong> is a search MCP server that [![lyonzin/knowledge-rag MCP server](https://glama.ai/mcp/servers/lyonzin/knowledge-rag/badges/score.svg)](https://glama.ai/mcp/servers/lyonzin/knowledge-rag) 🐍 🏠 🍎 🪟 🐧 - Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query ex.</p> <h2>How to Use lyonzin/knowledge-rag</h2> <p>To use lyonzin/knowledge-rag, you need an MCP-compatible client such as Claude Desktop, Cursor, or VS Code with an MCP extension. Once configured, the AI model can automatically use the tools provided by this server.</p>

Key Features

  • Open source with community contributions
  • Web search integration
  • Structured result parsing