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Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems
Evaluating first-stage retrievers in large-scale production RAG requires a benchmark that pairs a large-scale corpus with a large set of agent-reformulated search queries based on real user queries and their conversation threads, and that labels many relevant documents per query. No existing public
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