How AI describes CRAG

CRAG, short for Comprehensive RAG Benchmark, is a factual question-answering benchmark designed to advance research in retrieval-augmented generation (RAG). It provides mock APIs to simulate web and knowledge-graph search for end-to-end evaluation. The dataset spans five domains and eight question categories with varying entity popularity and temporal dynamics, and includes evaluation metrics that score responses as perfect, acceptable, or miss.