ragdata: Build knowledge bases for RAG

ragdata builds knowledge bases for Retrieval Augmented Generation (RAG).

This project has processes to build txtai embeddings databases for common datasets.

The currently supported datasets are:

Each of the links above has full instructions on how to build those datasets, including using this project.

Installation

The easiest way to install is via pip and PyPI

pip install ragdata

Python 3.10+ is supported. Using a Python virtual environment is recommended.

ragdata can also be installed directly from GitHub to access the latest, unreleased features.

pip install git+https://github.com/neuml/ragdata

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for ragdata 0.4.0
File	Size	Uploaded
ragdata-0.4.0.tar.gz	13.2 kB	Apr 20, 2026	Details

Table of built distributions (wheels) for ragdata 0.4.0
File	Interpreter	ABI	Platform	Reset
ragdata-0.4.0-py3-none-any.whl 15.3 kB Apr 20, 2026	Python 3	none	any	Details

Total release size: 28.5 kB

Download URL	ragdata-0.4.0.tar.gz
Size	13.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`79bbe10767a0734e2e974d1e68894a08a80b70140ef28a5afd06a5c3f145d3c7`
BLAKE2b-256 checksum How to use checksums	`2ba2aee5ae8e4d7392778a4b0f83efdf7d9a80ba25af07509a386b85a0821672`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.20`

Download URL	ragdata-0.4.0-py3-none-any.whl
Size	15.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`a83c939e7996475f247ec93d634dfe00ec27d26c733cb246ab8f3b6d286e602f`
BLAKE2b-256 checksum How to use checksums	`2c640c1029379fcf922cd1dafbf1de584e72a82a0355272ca135be81c0a5adba`
Upload date	Apr 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.20`