AI Infrastructure · PyPI

RAGatouille

Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.

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Details

Author
Ben Clavié
GitHub profile
@answerdotai
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/answerdotai/ragatouille
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@answerdotai

Overview

Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.

Quick start

pip

pip install RAGatouille

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAGatouille can do

ragretrieval
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is RAGatouille?
Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.
How do I install RAGatouille?
Use pip: `pip install RAGatouille`. Full setup details on the source page linked above.
Is RAGatouille open source?
RAGatouille is published on PyPI.
What are alternatives to RAGatouille?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAGatouille is sourced from PyPI, published by Ben Clavié.

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