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haiku.rag

by ggozad · Python · ★ 541

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

#ai#docling#lancedb#mcp#mcp-server#ml#pydantic-ai#rag

Install

pip install git+https://github.com/ggozad/haiku.rag.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "haiku-rag": {
      "command": "uvx",
      "args": [
        "git+https://github.com/ggozad/haiku.rag.git"
      ]
    }
  }
}

From the README

[](https://github.com/ggozad/haiku.rag/actions/workflows/test.yml) [](https://codecov.io/gh/ggozad/haiku.rag) Agentic RAG built on [LanceDB](https://lancedb.com/), [Pydantic AI](https://ai.pydantic.dev/), and [Docling](https://docling-project.github.io/docling/). > **New: vision and multimodal search.** Picture-aware ingestion captures embedded figure bytes; vision-capable QA models receive them alongside text. Multimodal embedders put picture vectors in the same space as text, enabling text-as-query → figure hits and image-as-query retrieval. - **Hybrid search** — Vector + full-text with R…
Read full README on GitHub →

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