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Double Bench is a large-scale, multilingual, and multimodal benchmark for evaluating document Retrieval Augmented Generation (RAG) systems. It comprises 3,276 documents, 72,880 pages, and 5,168 human-validated queries across six languages and four document types to assess each component of document RAG frameworks.
AI named DOUBLE-BENCH in March 2026.