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SAG

RAG & Retrieval

A local document retrieval workbench that automatically chunks, vectorizes, and builds event‑entity graphs for Q&A over uploaded Markdown/TXT files

Python Latest v1.4.0 · 3d ago Security brief →

Features

  • Automatic chunking, vectorization, event extraction, entity extraction, and relation organization from uploaded documents
  • Conversational Q&A interface with source citations and real‑time retrieval trace visualization
  • Knowledge graph exploration of events and entities with drag/zoom/details interaction
  • Dual search modes: fast BM25‑based lookup and standard LLM‑enhanced multi‑hop recall
  • Full project management, raw model log inspection, and MCP integration for external agents

Recent releases

View all 2 releases →
No immediate action
v1.4.0 Breaking risk

zleap-sag full rewrite

No immediate action
v1.3.0 New feature

Electron desktop client

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About

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Forks
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Languages
Python TypeScript Shell

Install & Platforms

Install via
docker brew

Beta — feedback welcome: [email protected]