Open SourceAnalytics9k
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/ragasLanguage
PythonWhat 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