Ragas

An open-source framework for evaluating RAG pipelines on faithfulness and relevance.

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Ragas measures whether a RAG system is actually working. It scores dimensions like faithfulness (does the answer stay grounded in retrieved context), answer relevance, and retrieval quality, turning "it seems fine" into numbers.

That makes it a regression check: change a chunking strategy or a model, and Ragas tells you whether quality moved up or down.

Where it fits

Essential when retrieval quality matters and you need to measure changes to a RAG pipeline rather than judge them by eye.

Where it does not fit

Built specifically for RAG: for evaluating general agent behaviour or non-retrieval tasks you want a broader eval tool.

Alternatives to Ragas

The closest options on the map, and where each fits instead.

DeepEval Evaluation framework

A fit when you want LLM quality checks written as tests and run automatically in CI.
promptfoo Evaluation framework

A fit when you want config-driven evaluation across prompts and models, plus security red-teaming, in one CLI tool.

Unlike Ragas Maturity: established

Pairs with

Commonly used alongside it.

LlamaIndex