lyonzin/knowledge-rag

v3.1.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 2mo MCP Developer Tools

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✓ No known CVEs patched

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✓ 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

Added DOCX, XLSX, PPTX and CSV support expanding total formats to nine.

Full changelog

Knowledge RAG v3.1.0

New Features

Office Document Support (4 new formats)

DOCX: Paragraphs, tables, heading structure preserved as markdown
XLSX: All sheets extracted as searchable text tables
PPTX: Slide-by-slide text extraction
CSV: Native parsing, zero extra deps
Total: 9 formats (was 5)

File Watcher

Documents directory monitored in real-time via watchdog. Auto-reindexes with 5-second debounce when you add, modify, or delete files.

MMR Result Diversification

Maximal Marginal Relevance applied after reranking. Reduces redundant results — if top 5 were from same doc, MMR pushes varied sources up. Lambda=0.7 (relevance-heavy).

pip install

pip install knowledge-rag

No clone needed. Models download automatically.

Full Changelog

https://github.com/lyonzin/knowledge-rag/compare/v3.0.0...v3.1.0

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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