Q2D-Web
PulseAugur coverage of Q2D-Web — every cluster mentioning Q2D-Web across labs, papers, and developer communities, ranked by signal.
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Perplexity releases new embedding models, achieves SOTA on benchmarks
Perplexity has released two new late-interaction embedding models, pplx-embed-v2-late, which can retrieve text, images, and pages within a shared embedding space. These models achieve frontier performance and are availa…
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Perplexity launches Q2D-Web benchmark for retrieval in agentic RAG systems
Perplexity has introduced Q2D-Web, a new benchmark and leaderboard designed to evaluate retrieval performance in agentic RAG systems. The benchmark utilizes a large corpus of 190 million web documents and over 69,000 ag…
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Perplexity launches Q2D-Web benchmark for AI agent evaluation
Perplexity has introduced Q2D-Web, a new benchmark designed to evaluate AI agents. This benchmark includes a dataset of 70,000 agent queries, a corpus of 190 million web documents, and three distinct sets of relevance j…
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New Q2D-Web benchmark evaluates retrieval for agentic RAG systems
Researchers have introduced Q2D-Web, a new large-scale benchmark designed to evaluate retrieval systems within agentic retrieval-augmented generation (RAG) pipelines. This benchmark addresses limitations in existing dat…