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Practical guides

How Ragas Supports Evaluating AI Agents and Tool Use
Ragas includes a dedicated set of agent and tool-use evaluation capabilities: agent-specific metrics (Topic Adherence, Tool Call Accuracy, Tool Call …
Can Ragas Generate Test Datasets for RAG and Agent Applications?
Yes. Ragas (docs.ragas.io) documents test data generation as a first-class capability, covering both RAG applications and agents/tool-use cases. Acco…
How to Get Started with Ragas
To get started with Ragas, install the package, run the Quick Start, then follow the tutorial that matches what you are building: a prompt, a RAG sys…
What Evaluation Metrics Does Ragas Provide?
Ragas provides four families of evaluation metrics: RAG metrics (context precision, context recall, faithfulness, response relevancy, and others), ag…
What is Ragas and what is it used for?
Ragas is an open-source evaluation framework for AI applications, documented at docs.ragas.io. You use it to measure the quality of AI systems—especi…