Measuring RAG Performance: A Definitive Guide to Metrics, Tools, and Best Practices
Evaluating a Retrieval-Augmented Generation (RAG) system goes beyond just generating answers. In this article, we break down all essential RAG evaluation metrics—from nDCG, BLEU, and ROUGE to precision, recall, coverage, and human evaluation. With simple examples and practical explanations, you’ll learn how to measure relevance, accuracy, efficiency, consistency, and user satisfaction in your RAG pipelines, ensuring your AI delivers reliable, high-quality answers every time.
