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lyonzin / knowledge-rag

Local RAG server for Claude Code, Cursor and other MCP clients: hybrid BM25 + vector search with cross-encoder reranking on by default, 13 MCP tools, 33 file types including code, re-indexing on file changes. One Python process with embedded ChromaDB and FastEmbed ONNX: no Docker, database server or API key; offline after the first model download.

Why this job: says: rag, vector search; topics: rag, retrieval-augmented-generation, semantic-search, vector-search, knowledge-base, hybrid-search

knowledge-rag banner: local hybrid RAG for MCP. Documents flow through ingestion (parse, chunk, embed, index), hybrid search (FTS5, BM25, semantic), cross-encoder reranking, and on to the LLM.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 3 days ago
Stars
304
+6 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v5.0.1
Released 4 days ago
Built with
Python
96% of the code

Is it looked after?

Contributors
8
Last 90 days
Issues
98% closed
1 still open
Pull requests
155 merged
0 waiting
Releases
23
23 in the last year

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More: languages, topics and project record

Languages

  • Python 96%
  • JavaScript 2%
  • CSS 1%
  • PowerShell 1%

Topics

  • antigravity
  • bm25
  • chromadb
  • claude-code
  • codex
  • cross-encoder
  • cursor
  • fastembed
  • hybrid-search
  • knowledge-base
  • local-ai
  • local-first

Project record

  • JobRAG and search
  • StatusListed
  • Commits284
  • Forks50
  • Watching1
  • Stars in 28 days+12
  • CreatedFeb 5, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

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