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lyonzin/knowledge-rag

v4.3.0 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

Reindexing runs asynchronously and GPU CUDA 12 support with verification is added.

Full changelog

Highlights

Async Background Reindex

reindex_documents() now runs in a background daemon thread and returns immediately — no more MCP timeouts on large document sets (5K+ files). Concurrent calls return already_running with current progress.

New MCP Tool: get_reindex_status

Lightweight progress polling without computing full index stats. Returns active/idle status, percent, processed/total, errors, and last result. 13 MCP tools total.

GPU CUDA 12 Support

Full NVIDIA GPU acceleration with automatic DLL discovery. The [gpu] pip extra installs onnxruntime-gpu + 7 CUDA 12 runtime packages. Server runs 4-step GPU verification on startup (providers → DLLs → nvidia-smi → session test) and falls back to CPU gracefully.

What's Changed

  • NEW: get_reindex_status MCP tool for reindex progress polling
  • NEW: reindex_documents runs async in background thread
  • NEW: GPU CUDA 12 support with 8 nvidia pip packages and auto DLL path discovery
  • NEW: 4-step GPU verification (providers, DLLs, nvidia-smi, ONNX session test)
  • DEPS: [gpu] extra expanded from 3 to 8 packages
  • FIX: GPU status no longer falsely reports ACTIVE when CUDA DLLs are missing
  • DOCS: GPU section rewritten, tool reference updated for 13 tools
  • TEST: Backwards-compat baseline updated for 13 MCP tools

Full Changelog: https://github.com/lyonzin/knowledge-rag/compare/v4.2.0...v4.3.0

Full Changelog: https://github.com/lyonzin/knowledge-rag/compare/v4.2.0...v4.3.0

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]