we are releasing a new benchmark and a public leaderboard for embedding models that measure the performance of large-scale agentic web search. more info can be found here.
paper:
blog:
leaderboard:
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We're introducing Q2D-Web (Query2Doc-Web), a benchmark and public leaderboard for evaluating retrieval in agentic RAG systems.
Q2D-Web tests how embedding models perform on large-scale web search using agent-reformulated search queries.
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