io.github.ggozad/haiku-rag
mcp-serverNo score yet
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
Stars
537
Δ stars 7d
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Δ stars 30d
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Forks
36
Contributors
7
npm DL / wk
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PyPI DL / wk
1,691
Language
Python
Last push
2026-06-09
About io.github.ggozad/haiku-rag
Includes all features: document processing, all embedding providers, and rerankers. Install only the extras you need. See the Installation documentation for available options. async with HaikuRAG("knowledge.lancedb", create=True) as rag: # Index documents await rag.create_document_from_source("paper.pdf") await rag.create_document_from_source("https://arxiv.org/pdf/1706.03762")
Read the full README on GitHub →
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Frequently asked questions
- Is io.github.ggozad/haiku-rag still maintained?
- Yes — actively maintained. The last push was on 2026-06-09, with 7 contributors.
- What are the best io.github.ggozad/haiku-rag alternatives?
- Closest by category and size in our data: io.github.UI5/webcomponents-react-mcp-server, reading-plus-ai/mcp-server-data-exploration, subnetmarco/pgmcp — full list with live signals above.
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Tracked since 2026-06-10 · data as of 2026-06-10 · 6 open issues · 134 releases