ragas
Ragas offers a toolkit designed for evaluating and optimizing Large Language Model applications through objective metrics and automated test data generation. It integrates smoothly with LLM frameworks like LangChain to facilitate efficient evaluation workflows and feedback loops, ensuring continuous improvement in application performance. Ragas helps transition from subjective to data-driven assessments for more reliable LLM evaluations.