Use Ragas to evaluate DSPy RAG pipelines with decomposed metrics. Use when you want to evaluate RAG quality, measure faithfulness, context precision, context recall, answer relevancy, or diagnose retriever vs generator issues. Also used for ragas, pip install ragas, ragas evaluate, RAG evaluation, faithfulness metric, context precision, context recall, answer relevancy, answer correctness, decompo
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Ragas — Decomposed RAG Evaluation for DSPy
Guide the user through evaluating DSPy RAG pipelines with Ragas, an evaluation framework that decomposes RAG quality into independent metrics for retriever and generator.
Step 1: Understand the evaluation need
Before setting up Ragas, clarify:
Do you have a RAG pipeline already? Ragas evaluates retriever + generator quality — you need a working pipeline first.
Do you have ground-truth answers? Some metrics (Faithfulness, AnswerRel
[Description truncada. Veja o README completo no GitHub.]
