{"slug": "rag-evaluation-101-what-to-measure-and-what-not-to", "title": "RAG Evaluation 101: What to Measure (and What Not to)", "summary": "A new guide on evaluating Retrieval-Augmented Generation (RAG) systems identifies five common mistakes in current evaluation practices, drawing on insights from five research papers. The article advises practitioners on what metrics to prioritize and which to avoid to improve RAG performance assessment.", "body_md": "Five questions, five papers, five things your RAG eval is probably getting wrong.\nContinue reading on Towards AI »", "url": "https://wpnews.pro/news/rag-evaluation-101-what-to-measure-and-what-not-to", "canonical_source": "https://pub.towardsai.net/rag-evaluation-101-what-to-measure-and-what-not-to-ffc812836fb9?source=rss----98111c9905da---4", "published_at": "2026-06-24 15:01:04+00:00", "updated_at": "2026-06-24 15:16:47.929443+00:00", "lang": "en", "topics": ["large-language-models", "natural-language-processing", "ai-research", "ai-tools"], "entities": ["Towards AI"], "alternates": {"html": "https://wpnews.pro/news/rag-evaluation-101-what-to-measure-and-what-not-to", "markdown": "https://wpnews.pro/news/rag-evaluation-101-what-to-measure-and-what-not-to.md", "text": "https://wpnews.pro/news/rag-evaluation-101-what-to-measure-and-what-not-to.txt", "jsonld": "https://wpnews.pro/news/rag-evaluation-101-what-to-measure-and-what-not-to.jsonld"}}