ragas

Why we included this project

Ragas is a practical evaluation toolkit for teams building LLM features who want real answers about whether their app is improving. It ships a library of ready-made metrics for common tasks, and you can also define your own scoring criteria, so things like answer accuracy, faithfulness, and relevance get measured the same way every time. The test-set generation is the part that stands out: if you have no labeled evaluation data, it can synthesize production-aligned test cases across a range of scenarios, which removes a big hurdle for teams just getting started. It connects to frameworks like LangChain and observability tools, and it supports feeding production data back into evaluations so the checks keep up as your app changes. For anyone moving from ad-hoc manual review to systematic evaluation of RAG pipelines or agent behavior, this is a solid place to start.