Homeβ€Ί Projectsβ€Ί rag
rag
Python

rag

πŸš€ Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

by neuml Β· GitHub
Stars
Forks
Trending
License
Created
Last commit
Category
Language
aiartificial-intelligencelarge-language-modelsApache-2.0Python
View on GitHub
In plain words

Generate accurate content by combining search results with language models using your own data.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
rag β€” GitHub preview card
πŸ“ˆ Star history
463457
2026-07-202026-08-31
πŸ“ˆ Track rag

Get an email alert on its next release or when it starts trending β€” never miss the moment.

Free Β· no card Β· unsubscribe anytime
Get email alerts β†’
πŸ“„ About

πŸš€ Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

rag has 463 stars on GitHub. It has been forked 40 times. rag is written mainly in Python. It has been in active development since 2024. rag is available under the Apache-2.0 license. Its main topics are ai, artificial-intelligence, large-language-models, llm.

❓ Frequently asked questions

What is rag?

πŸš€ Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

Is rag open source?

rag is an open-source project. It is released under the Apache-2.0 license.

Is rag free?

Yes. rag is free and open source β€” you can use, modify and self-host it.

What license does rag use?

rag is available under the Apache-2.0 license.

What language is rag written in?

rag is written mainly in Python.

πŸ… Maintainer of this project?
olud.ai badge β€” rag

Add this live badge to your README β€” your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=neuml-rag)](https://olud.ai/project/neuml-rag.html)
More badge options β†’
🧬 Shares DNA with🧬 View the DNA map β†’

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.