ragas

Ragas provides a comprehensive framework for evaluating Retrieval-Augmented Generation (RAG) applications. Key features include:

• Automatic metrics: Gain insights into the performance and robustness of your LLM application.
• Synthetic data generation: Create high-quality evaluation data tailored to your needs.
• Online monitoring: Ensure quality in production environments with actionable insights.

Use cases include developing datasets for financial reports to evaluate LLM performance on information retrieval tasks. Ragas helps teams leverage their LLMs effectively, pushing the boundaries of what is possible in AI applications.