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lyonzin/knowledge-rag

v3.4.1 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

antigravity claude claude-code claude-code-cli codex cursor-ai
+14 more
document-search hybrid-search inteligencia-artificial knowledge-base local-ai mcp mcp-server llm rag-chatbot rag-pipeline reranking retrieval-augmented-generation semantic-search vector-db

Summary

AI summary

Server auto-detects project directory from venv, removing cwd/KNOWLEDGE_RAG_DIR workarounds.

Full changelog

What's New

Reliable pip install — The server now auto-detects the project directory from the venv location. No more cwd, cd /d, or KNOWLEDGE_RAG_DIR workarounds needed. Just pip install knowledge-rag, knowledge-rag init, configure MCP, and it works.

Linux/macOS installer — New install.sh script with pip and from-source modes. Auto-configures Claude Code MCP.

Changes

  • FIX: BASE_DIR resolution chain: env var → source dir → venv parent → CWD → fallback
  • NEW: install.sh — Linux/macOS installer with --from-source, --install-path, --force flags
  • IMPROVED: Simplified MCP config — no cwd field or shell wrappers needed

Install / Upgrade

pip install --upgrade knowledge-rag

Full docs: https://github.com/lyonzin/knowledge-rag#installation

View diff on GitHub

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About lyonzin/knowledge-rag

Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 12 MCP tools. Runs entirely offline with zero external servers.

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Related context

Beta — feedback welcome: [email protected]