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Ragas

Evaluation framework for your AI Application

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For agents: Ragas open-source evaluation framework for AI applications, with getting-started guides, RAG and agent evaluation tutorials and testset generation.

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# Ragas

> Evaluation framework for your AI Application

Ragas is an open-source evaluation framework for LLM applications including RAG pipelines,
AI agents, and workflows. It provides objective metrics for evaluation, test data generation
capabilities, and integrations with popular LLM frameworks like LangChain and LlamaIndex.


## Getting Started

- [🚀 Get Started](https://docs.ragas.io/en/stable/getstarted/index.md)
- [Evaluate a simple LLM application](https://docs.ragas.io/en/stable/getstarted/evals/index.md)
- [Run your first experiment](https://docs.ragas.io/en/stable/getstarted/experiments_quickstart/index.md)
- [Installation](https://docs.ragas.io/en/stable/getstarted/install/index.md)
- [Quick Start](https://docs.ragas.io/en/stable/getstarted/quickstart/index.md)
- [Evaluate a simple RAG system](https://docs.ragas.io/en/stable/getstarted/rag_eval/index.md)
- [Testset Generation for RAG](https://docs.ragas.io/en/stable/getstarted/rag_testset_generation/index.md)

## Tutorials

- [Tutorials](https://docs.ragas.io/en/stable/tutorials/index.md)
- [Evaluate an AI Agent](https://docs.ragas.io/en/stable/tutorials/agent/index.md)
- [Evaluate a prompt](https://docs.ragas.io/en/stable/tutorials/prompt/index.md)
- [Evaluate a simple RAG system](https://docs.ragas.io/en/stable/tutorials/rag/index.md)
- [Evaluate an AI Workflow](https://docs.ragas.io/en/stable/tutorials/workflow/index.md)

## Core Concepts

- [📚 Core Concepts](https://docs.ragas.io/en/stable/concepts/index.md)
- [Datasets](https://docs.ragas.io/en/stable/concepts/datasets/index.md)
- [Experimentation](https://docs.ragas.io/en/stable/concepts/experimentation/index.md)
- [Components Guide](https://docs.ragas.io/en/stable/concepts/components/index.md)
- [Evaluation Dataset](https://docs.ragas.io/en/stable/concepts/components/eval_dataset/index.md)
- [Evaluation Sample](https://docs.ragas.io/en/stable/concepts/components/eval_sample/index.md)
- [Prompt](https://docs.ragas.io/en/stable/concepts/components/prompt/index.md)
- [Utilizing User Feedback](https://docs.ragas.io/en/stable/concepts/feedback/index.md)
- [Metrics](https://docs.ragas.io/en/stable/concepts/metrics/index.md)
- [List of available metrics](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/index.md)
- [Agentic or Tool use](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/agents/index.md)
- [Answer correctness](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/answer_correctness/index.md)
- [Response Relevancy](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/answer_relevance/index.md)
- [Aspect Critique](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/aspect_critic/index.md)
- [Context Entities Recall](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/context_entities_recall/index.md)
- [Context Precision](https://docs.ragas.io/en/stable/concepts/metrics/available_metrics/context_precision/index.md)
- [Context Rec
…

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