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lyonzin/knowledge-rag

v3.4.0 Feature

This release adds 3 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

Models cache persists across reboots, new exclude patterns filter unwanted files during indexing.

Full changelog

What's New

Persistent Model Cache (models_cache_dir)

FastEmbed ONNX models (~250MB) now persist across reboots. No more re-downloading after every restart on Linux.

Exclude Patterns (exclude_patterns)

Skip directories and files during indexing with glob patterns. Perfect for node_modules/, .venv/, .git/, and other junk.

Jupyter Notebook Parser (.ipynb)

Dedicated parser extracts only markdown and code cell sources — no more indexing base64 images, execution counts, or cell metadata.

MCP stdio Protection

stdout redirected to stderr before mcp.run(), preventing stray print() calls from corrupting the JSON-RPC stream.

inotify Resilience (Linux)

File watcher gracefully degrades when Linux inotify limits are exceeded — server continues without auto-reindex instead of crashing.

MetaTrader Support (.mqh / .mq4)

MQL4/MQL5 files now parseable as code. Not in defaults — enable via supported_formats in config.

Configuration

paths:
  models_cache_dir: "./models_cache"  # persistent ONNX cache

documents:
  exclude_patterns:
    - "node_modules"
    - ".venv"
    - "__pycache__"
    - ".git"

Tests

47 tests passing (11 new), zero failures. Covers all new features with edge cases.

Install / Upgrade

pip install --upgrade knowledge-rag

Community Credit: Ideas for models_cache_dir, exclude_patterns, .ipynb support, and inotify handling originated from @Hohlas (PR #18). Implementation rewritten from scratch with proper architecture and rigorous tests.

Full Changelog: https://github.com/lyonzin/knowledge-rag/compare/v3.3.2...v3.4.0

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]