Ragas

What is Ragas?

Ragas is an open-source evaluation framework specifically designed for RAG (Retrieval-Augmented Generation) pipelines. It provides metrics for context precision, context recall, faithfulness, and answer relevancy, helping teams measure and improve the quality of their RAG systems. Ragas has become the standard evaluation toolkit for teams building production RAG applications.

Key Features

• ✓RAG-specific evaluation framework
• ✓Component-wise metrics for RAG
• ✓Synthetic test data generation
• ✓LLM-as-judge evaluators
• ✓Open-source Python library

Common Use Cases

Developers building RAG applications who need specialized evaluation metrics

• •Evaluating RAG pipeline quality end-to-end
• •Measuring retrieval precision and recall
• •Testing faithfulness and answer relevance
• •Generating synthetic evaluation datasets
• •Benchmarking RAG across configurations