How to measure RAG quality with Ragas and DeepEval (free)

What to measure in RAG

• Faithfulness — is the answer supported by the retrieved context?
• Answer relevance — does it actually address the question?
• Context precision/recall — did retrieval surface the right passages?

The workflow

1. Build a small set of questions (and ideally reference answers) from your data.
2. Run your RAG system and capture answers + retrieved context.
3. Score with a metrics library, in CI, on every change.

Free eval tools on ai-supply

Open-source RAG-eval harnesses live under the eval kind, each security-scanned. Compare them on the benchmarks page and pair them with pipelines from the nlp and data categories.

Measure before you ship — find a vetted harness on the marketplace.