# LlamaIndex 🦙

- **Website:** <https://ragas.io>
- **Primary alias:** `ragas.io`

## Description

Ragas is an open-source framework that helps teams test and evaluate applications built with large language models, including retrieval-augmented generation (RAG) systems. Its tools support quality assessment throughout development and after deployment, helping practitioners understand how an application performs and where it may need improvement.

The framework offers evaluation metrics for assessing performance and robustness, along with synthetic test-data generation that can be tailored to specific requirements. Ragas also provides workflows for online monitoring, enabling teams to evaluate application quality in production and use the resulting insights to guide improvements. Together, these capabilities help developers establish evaluation criteria, create useful test sets, and track quality over time.

Ragas is developed by a small team combining AI research with pragmatic engineering. The project provides documentation, a blog, GitHub resources, and a Discord community where users can ask questions. The team also invites inquiries about enterprise features and collaborations. Ragas is designed for engineers and teams seeking practical tools to evaluate LLM applications across development and production.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [github](https://github.com/explodinggradients)
- [linkedin](https://linkedin.com/company/ragas-io)
- [twitter](https://twitter.com/llama_index)

## Logos & icons

- icon _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idOPzzCra7/w/400/h/400/theme/dark/icon.png?c=1bxid64Mup7aczewSAYMX&t=1792565487690)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Black | #000000 | dark |
| White | #ffffff | light |

## Fonts

- Satoshi-Variable — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idOPzzCra7/w/1500/h/500/idc7ugBWHf.jpeg?c=1bxid64Mup7aczewSAYMX&t=1792565487841)

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_Source: <https://brandfetch.com/ragas.io>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._