R
Ragas
Open SourceModel Evaluation & BenchmarkingOpen-source evaluation framework purpose-built for retrieval-augmented generation pipelines.
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overview
Ragas is the reference open-source toolkit for RAG evaluation: faithfulness, answer relevancy, context precision, and context recall metrics that quantify whether a pipeline retrieves the right evidence and stays grounded in it. Lightweight and notebook-friendly, it is often the first eval a RAG team adopts.
- RAG-specific metric suite - Testset generation from documents - LangChain and LlamaIndex integrations - Works with any LLM as judge
core features
- RAG-specific metric suite
- Testset generation from documents
- LangChain and LlamaIndex integrations
- Works with any LLM as judge
faq
Ragas — frequently asked questions
- What is Ragas?
- Ragas is the reference open-source toolkit for RAG evaluation: faithfulness, answer relevancy, context precision, and context recall metrics that quantify whether a pipeline retrieves the right evidence and stays grounded in it. Lightweight and notebook-friendly, it is often the first eval a RAG team adopts.
- Does Ragas have compliance certifications?
- Ragas does not publicly list specific compliance frameworks in our directory. Confirm the latest posture directly with the vendor at https://docs.ragas.io.
- How much does Ragas cost?
- Ragas is open source, so you can self-host it for free. Managed/cloud tiers may be offered separately.
- Who is Ragas for?
- Teams working on model evaluation & benchmarking — particularly those that need to evidence AI compliance and security controls.
- Is Ragas open source?
- Yes — the source code is available on GitHub at https://github.com/explodinggradients/ragas.