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Yiorgis Gozadinos ce69a8c989
Remove the MCP write tools; the server opens read-only 
add_document_from_file, add_document_from_url, add_document_from_text
and delete_document are gone. create_mcp_server and _covering lose
read_only; the client always opens with read_only=True, so the
--read-only flag before `mcp` is redundant and the docs, Dockerfiles and
compose example drop it.

Ingestion is `haiku-rag add`/`add-src`/`delete` and haiku-ingester. No
known consumer used the write tools; one stdio server per client window
made multi-writer the accidental default, and streamable HTTP has no auth.

The test_app stub drops a comment and __init__ that described run_mcp
constructing the client positionally; every path goes through _covering.

Refs #599
2026-09-04 12:59:48 +03:00
..
haiku/rag Remove the MCP write tools; the server opens read-only 2026-09-04 12:59:48 +03:00
LICENSE Restructure into uv workspace to support minimal and full installations 2025-11-04 17:59:12 +02:00
pyproject.toml vb 2026-09-03 18:00:43 +03:00
README.md Give the docs an architecture page and one extras list 2026-08-20 15:07:06 +03:00

README.md

haiku.rag-slim

Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling - Core package with minimal dependencies.

haiku.rag-slim is the core package for users who want to install only the dependencies they need. Document processing (docling), and reranker support are all optional extras.

For most users, we recommend installing haiku.rag instead, which includes all features out of the box.

Installation

Python 3.12 or newer required

Minimal Installation

uv pip install haiku.rag-slim

Core functionality with OpenAI/Ollama support, MCP server, and Logfire observability. Document processing (docling) is optional.

With Document Processing

uv pip install haiku.rag-slim[docling]

Adds support for 40+ file formats including PDF, DOCX, HTML, and more.

Available Extras

docling, tui, voyageai, cohere, zeroentropy, cross-encoder, jina, s3, ingester, and one per model provider: anthropic, google, groq, mistral, bedrock, vertexai. Ollama and any OpenAI-compatible endpoint need no extra.

What each provides, and which ones the full haiku.rag package already includes: Installation.

# Common combinations
uv pip install 'haiku.rag-slim[docling,anthropic,cross-encoder]'
uv pip install 'haiku.rag-slim[docling,groq]'

Usage

See the main haiku.rag repository for:

  • Quick start guide
  • CLI examples
  • Python API usage
  • MCP server setup

Documentation

Full documentation: https://ggozad.github.io/haiku.rag/