📚 Core Concepts ↗
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Learn how to systematically evaluate your AI applications using experiments.
Track changes, measure improvements, and compare results across different versions of your application.
Understand how to create, manage, and use evaluation datasets.
Learn about dataset structure, storage backends, and best practices for maintaining your test data.
Use our library of available metrics or create custom metrics tailored to your use case.
Metrics for evaluating RAG, Agentic workflows and more...
Generate high-quality datasets for comprehensive testing.
Algorithms for synthesizing data to test RAG, Agentic workflows
Link last verified
June 7, 2026.
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Source: RAGAS Docs
Link last verified: 2026-03-04