Models & Algorithms•SOTAAZ Lab••KR

RAG Evaluation: Beyond Precision/Recall

"How do I know if my RAG is working?" — Precision/Recall aren't enough. You need to measure Faithfulness, Relevance, and Context Recall to see the real quality.

RAG Evaluation: Beyond Precision/Recall

RAG Evaluation: Beyond Precision/Recall

"How do I know if my RAG is working?" — Precision/Recall aren't enough. You need to measure Faithfulness, Relevance, and Context Recall to see the real quality.

Why Traditional Metrics Fall Short

Traditional IR (Information Retrieval) metrics:

MetricMeasuresLimitation in RAG
Precision@KRelevant docs in top KMay not correlate with answer quality
Recall@KRetrieved relevant docs / all relevantRequires ground truth, often impractical
MRRRank of first relevant docMeaningless when multiple docs needed
🔐

This part is for subscribers

A subscription unlocks every premium series and its Jupyter notebooks.

You need a free account to subscribe. Cancel anytime.

Files for this post