haiku.rag/haiku_rag_slim
Chris McDonough 22ab79c492 Fix shutdown-order bug: close source clients after workers stop
Workers share the same Source instances as pollers and use them for
fetch(). PollerManager.stop() was closing httpx clients before the
worker pool drained, so in-flight fetches during the shutdown grace
hit a closed client.

- Move source closing out of stop() into a separate close_sources()
- Call close_sources() after _stop_pool() in both serve() and
  run_batch()
- Promote aclose() to the Source protocol with no-op defaults for
  FS and S3, removing the hasattr duck-typing
2026-06-01 09:55:39 -04:00
..
haiku/rag Fix shutdown-order bug: close source clients after workers stop 2026-06-01 09:55:39 -04:00
LICENSE Restructure into uv workspace to support minimal and full installations 2025-11-04 17:59:12 +02:00
pyproject.toml vb 2026-05-29 11:47:12 +03:00
README.md Update project description 2025-11-29 11:18:53 +02:00

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

Document Processing:

  • docling - PDF, DOCX, HTML, and 40+ file formats

Embedding Providers:

  • voyageai - VoyageAI embeddings

Rerankers:

  • mxbai - MixedBread AI
  • cohere - Cohere
  • zeroentropy - Zero Entropy

Model Providers:

  • OpenAI/Ollama - included in core (OpenAI-compatible APIs)
  • anthropic - Anthropic Claude
  • groq - Groq
  • google - Google Gemini
  • mistral - Mistral AI
  • bedrock - AWS Bedrock
  • vertexai - Google Vertex AI
# Common combinations
uv pip install haiku.rag-slim[docling,anthropic,mxbai]
uv pip install haiku.rag-slim[docling,groq,logfire]

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/