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Ragas

Evaluation toolkit for RAG pipelines and LLM applications.

Ragas is an open-source framework for evaluating and testing LLM applications, with a strong focus on retrieval-augmented generation. It provides reference-free metrics such as faithfulness, answer relevancy, and context precision/recall, plus tooling to generate synthetic test sets. It integrates with LangChain, LlamaIndex, and observability tools to bring objective scoring into CI and experiment loops.

Repository

explodinggradients/ragas

Language

Python

What you'd build with it

  • Score RAG answers for faithfulness and context relevance without manual labels
  • Generate synthetic question/answer test sets to benchmark a retrieval pipeline
  • Gate model or prompt changes in CI by tracking eval metrics over time

Tags

evalsragllm-testingmetrics