Byte-Sized
RAG Evaluation: Moving Beyond Simple Accuracy Metrics
New evaluation frameworks for RAG systems that measure retrieval quality, answer faithfulness, and user satisfaction.
2025-11-15
Evaluating RAG (Retrieval-Augmented Generation) systems requires metrics beyond simple accuracy. The emerging best practice is a multi-dimensional evaluation framework: retrieval relevance (are the right documents found?), answer faithfulness (is the answer grounded in retrieved documents?), answer completeness (does it address the full question?), and citation accuracy (are sources correctly attributed?). Tools like RAGAS, TruLens, and custom evaluation pipelines are becoming standard in production RAG deployments.