Ragas
Ragas is an open-source framework for evaluating Retrieval Augmented Generation (RAG) pipelines.
Free + paidAPICLIOpen sourceLLM-based
Visit websiteragas.io
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Ragas is an open-source framework for evaluating Retrieval Augmented Generation (RAG) pipelines. It provides metrics to measure faithfulness, answer relevance, and context precision. It helps developers automate the evaluation process and generate synthetic test data to improve LLM application performance without requiring extensive human-labeled ground truth.
Key features
- RAG-specific metrics
- Synthetic test data generation
- LLM-as-a-judge evaluation
- Integration with LangChain/LlamaIndex
- Component-wise evaluation
- Custom metric support
Pricing
Use cases
- Benchmarking RAG systems
- Measuring LLM hallucinations
- Optimizing retrieval algorithms
Who it is for
AI EngineersData scientistsLLM Application Developers
Integrations
LangChainLlamaIndexHugging FaceWeights & Biases
Tags
MLOps
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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