Ragas

Ragas was built to provide a standardised toolkit for measuring the performance, robustness and quality of LLM‑powered applications (especially retrieval‑augmented generation). :contentReference[oaicite:0]{index=0} The library offers a unified API to compute metrics like context precision, context recall, answer relevancy and faithfulness, generate synthetic test datasets tailored to a use case, and integrate with production observability workflows. :contentReference[oaicite:1]{index=1} It is framework‑agnostic, supports integration with stacks such as LangChain and LlamaIndex, and is designed for continuous evaluation of deployed systems, enabling teams to monitor performance, detect regressions and improve over time. :contentReference[oaicite:4]{index=4}