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/

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.77.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ggozad from gravatar.com ggozad

Credits

Author: Yiorgis Gozadinos

License

MIT

Requires

Python >=3.12

Provides Extra

anthropic bedrock cohere cross-encoder docling google groq ingester jina mistral s3 tui vertexai voyageai zeroentropy

Tags

RAG agentic-rag citations docling document-ingestion embeddings hybrid-search lancedb mcp mcp-server multimodal-rag pydantic-ai reranking vector-database

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

haiku_rag_slim-0.76.0.tar.gz (260.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

haiku_rag_slim-0.76.0-py3-none-any.whl (342.9 kB view details)

Uploaded Python 3

File details

Details for the file haiku_rag_slim-0.76.0.tar.gz.

File metadata

  • Download URL: haiku_rag_slim-0.76.0.tar.gz
  • Upload date:
  • Size: 260.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.15

File hashes

Hashes for haiku_rag_slim-0.76.0.tar.gz
Algorithm Hash digest
SHA256 437192df9f246672272abd5893dcab6920a937f3b4920bc476860af87176d0b2
MD5 b6c0d53913cf52ceb245784d99069f6e
BLAKE2b-256 736d2951d025041bd2b2dcbbd398bfe9b362854bd74bf4928d8b0eb2b1d34a87

See more details on using hashes here.

File details

Details for the file haiku_rag_slim-0.76.0-py3-none-any.whl.

File metadata

  • Download URL: haiku_rag_slim-0.76.0-py3-none-any.whl
  • Upload date:
  • Size: 342.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.15

File hashes

Hashes for haiku_rag_slim-0.76.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a78e34a12d7a480d45f13ea8b61a1eed1e54ee681f711a1b9e27666932630f06
MD5 c35e55312c0f42b62f32ef4cd92b12d0
BLAKE2b-256 b696b5c8b3cd879dfa1b218a0b6df97726b6e89aa9496e25a474f547ef3cc0c8

See more details on using hashes here.

Release history Release notifications | RSS feed

0.77.0

2 files

This release

0.76.0 This release

2 files

0.75.0

2 files

0.74.0

2 files

0.73.0

2 files

0.72.1

2 files

0.72.0

2 files

0.71.0

2 files

0.70.0

2 files

0.69.0

2 files

0.68.0

2 files

0.67.3

2 files

0.67.2

2 files

0.67.1

2 files

0.67.0

2 files

0.66.0

2 files

0.65.1

2 files

0.65.0

2 files

0.64.0

2 files

0.63.2

2 files

0.63.1

2 files

0.63.0

2 files

0.62.1

2 files

0.62.0

2 files

0.61.2

2 files

0.61.1

2 files

0.61.0

2 files

0.60.0

2 files

0.59.1

2 files

0.59.0

2 files

0.58.0

2 files

0.57.0

2 files

0.56.0

2 files

0.55.1

2 files

0.55.0

2 files

0.54.0

2 files

0.53.0

2 files

0.52.0

2 files

0.51.0

2 files

0.50.0

2 files

0.48.2

2 files

0.48.1

2 files

0.48.0

2 files

0.47.0

2 files

0.46.0

2 files

0.45.0

2 files

0.44.0

2 files

0.43.1

2 files

0.43.0

2 files

0.42.1

2 files

0.42.0

2 files

0.41.0

2 files

0.40.1

2 files

0.40.0

2 files

0.39.0

2 files

0.38.0

2 files

0.37.0

2 files

0.36.3

2 files

0.36.2

2 files

0.36.1

2 files

0.36.0

2 files

0.35.1

2 files

0.35.0

2 files

0.34.1

2 files

0.34.0

2 files

0.33.3

2 files

0.33.2

2 files

0.33.1

2 files

0.33.0

2 files

0.32.3

2 files

0.32.2

2 files

0.32.0

2 files

0.31.1

2 files

0.31.0

2 files

0.30.3

2 files

0.30.2

2 files

0.30.1

2 files

0.30.0

2 files

0.29.1

2 files

0.29.0

2 files

0.28.0

2 files

0.27.2

2 files

0.27.1

2 files

0.27.0

2 files

0.26.9

2 files

0.26.8

2 files

0.26.7

2 files

0.26.6

2 files

0.26.5

2 files

0.26.4

2 files

0.26.3

2 files

0.26.2

2 files

0.26.1

2 files

0.26.0

2 files

0.25.0

2 files

0.24.2

2 files

0.24.1

2 files

0.24.0

2 files

0.23.2

2 files

0.23.1

2 files

0.23.0

2 files

0.22.0

2 files

0.21.0

2 files

0.20.2

2 files

0.20.1

2 files

0.20.0

2 files

0.19.6

2 files

0.19.5

2 files

0.19.4

2 files

0.19.3

2 files

0.19.2

2 files

0.19.1

2 files

0.19.0

2 files

0.18.0

2 files

0.17.2

2 files

0.17.1

2 files

0.17.0

2 files

0.16.1

2 files

0.16.0

2 files

0.15.0

2 files

0.14.1

2 files

0.14.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page