io.github.ggozad/haiku-rag

mcp-serverNo score yet

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling

GitHub ↗PyPI ↗

Stars

538

Δ stars 7d

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Δ stars 30d

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Forks

36

Contributors

8

npm DL / wk

—

PyPI DL / wk

928

Language

Python

Last push

2026-06-12

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 →

Install

pip install haiku-rag
Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

io.github.ggozad/haiku-rag alternatives

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reading-plus-ai/mcp-server-data-explorationNo score yet542 ★
io.github.UI5/webcomponents-react-mcp-serverNo score yet534 ★
subnetmarco/pgmcpNo score yet533 ★
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Frequently asked questions

Is io.github.ggozad/haiku-rag still maintained?
Yes — actively maintained. The last push was on 2026-06-12, with 8 contributors.
What are the best io.github.ggozad/haiku-rag alternatives?
Closest by category and size in our data: reading-plus-ai/mcp-server-data-exploration, io.github.UI5/webcomponents-react-mcp-server, subnetmarco/pgmcp — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-13 · 4 open issues · 135 releases