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News
Perplexity's Q2D-Web Benchmark Tests AI Search on 190M Real Web Documents
3+ day, 9+ hour ago (291+ words) Perplexity released Q2D-Web, a large-scale benchmark with 190M documents and 70K agent-reformulated queries for evaluating retrieval in agentic RAG systems. Q2D-Web also targets a mismatch specific to agentic systems. Benchmarks typically use human-written queries, whereas RAG agents rewrite user requests into their…...
Perplexity's ROSE Serving Stack Beats vLLM on Speed and Latency
1+ week, 1+ day ago (395+ words) Perplexity open-sources details of Ivy, Tulip, and ROSE, its Rust plus Python embedding stack that beats vLLM on latency and throughput. Every Perplexity answer begins with a quiet but expensive step: turning a query and billions of candidate documents into…...