haiku.rag MCP server
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
What haiku.rag does
Summarised from the project README; check the repository for the latest details.
Features
- Ingest PDFs, office documents, HTML, Markdown and images with Docling, in-process or on docling-serve. The stored DoclingDocument keeps headings, tables, pictures and page provenance.
- Check a citation by drawing its chunk on the page image, from the CLI, the chat TUI or Python.
- Integrate through the Python API, native Pydantic AI capabilities, an MCP server for Claude Code, Codex and Claude Desktop, and a reference web app.
Repository: ggozad/haiku.rag
Website: https://ggozad.github.io/haiku.rag/
Stars: ★628
Language: Python
Last updated: 2026-10-14
ag-uiagentic-ragcode-executioncode-modecross-encoderdoclingdocument-aidocument-ingestiondocument-parsinghallucination-preventionlancedbmcp-servermultimodal-ragoffline-llmpydantic-airagrag-evaluationreciprocal-rank-fusionreranking
Website: https://ggozad.github.io/haiku.rag/
Stars: ★628
Language: Python
Last updated: 2026-10-14
ag-uiagentic-ragcode-executioncode-modecross-encoderdoclingdocument-aidocument-ingestiondocument-parsinghallucination-preventionlancedbmcp-servermultimodal-ragoffline-llmpydantic-airagrag-evaluationreciprocal-rank-fusionreranking
How to install haiku.rag
No install config was found in this README. See the repository for setup steps, then follow our guides for Claude Desktop, Cursor or VS Code.
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