---
id: "b703"
language: "en"
library: "tools"
official_url: "https://docs.ragas.io/en/stable/"
profile_updated_on: "2026-10-22"
---

# Ragas

Evaluate RAG and LLM applications using traditional and model-based metrics, generating tests from source or production data.

- Company / organization: VibrantLabs
- Category: Model development
- Official website: [https://docs.ragas.io/en/stable/](https://docs.ragas.io/en/stable/)
- Profile updated: 2026-10-22


## Overview

Ragas provides metrics, test generation and feedback workflows for LLM applications. Developers organize inputs, answers and required context into examples, select traditional or model-based scoring and compare systems such as RAG. Source material or production data can generate scenario-specific tests. Evaluator models, prompts and sample distributions affect scores, making them comparative evidence rather than absolute certification.

## Official sources and references

- [Official website](https://docs.ragas.io/en/stable/)

## Reading & subscriptions

- [Interactive profile](../../../products/ragas--b703.html)
- [Read](../../../read/en/products/ragas--b703.html)
- [JSON](../../../read/en/products/ragas--b703.json)

Descriptions summarize public information; consult official websites for features, pricing and regional availability.