mcp-server

haiku.rag: AI Powered RAG

Name: haiku.rag: AI Powered RAG
Author: ggozad

Get opinionated agentic RAG with haiku.rag. For founders needing AI solutions with Python and ML integration.

547 stars35 forksPythonQuality 8/10Updated 7/14/2026100% free · open source

What it does

Haiku.rag provides an opinionated agentic RAG solution for founders, integrating Python and machine learning capabilities powered by LanceDB, Pydantic AI, and Docling.

Install / run

git clone https://github.com/ggozad/haiku.rag && cd haiku.rag

When to use it

•When building AI solutions that require Python and ML integration
•For projects needing an opinionated agentic RAG with a Python interface
•When a startup requires a solution that leverages LanceDB, Pydantic AI, and Docling

Quick start

1Clone the haiku.rag repository and navigate to the cloned directory
2Review and configure the Pydantic AI and Docling settings in the code
3Run the command `python -m pip install -r requirements.txt` to install dependencies
4Launch the haiku.rag server using the command specified in the repository's README
5Test the haiku.rag API using tools like curl or a Python client library

Ready-to-paste prompt

python haiku_rag.py --help

Heads up: Ensure that the Python environment meets the version requirements specified in the haiku.rag repository, as it may require a specific version of Python or additional dependencies

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