Exa Snapshot Lets AI Search the Web as It Existed Years Ago
Exa Snapshot pins search and page retrieval to any past date, using 400 billion stored webpages to prevent evaluation leakage and enable backtests.
// Intelligence
Retrieval
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Google's Retrieve-for-Train Slashes AI Search Latency by 20x
Google Research swaps expensive chain-of-thought fan-out for a 53.9M-parameter diffusion retriever, delivering 12-20x faster expert-level search slates.
Perplexity's Q2D-Web Benchmark Tests AI Search on 190M Real Web Documents
Perplexity released Q2D-Web, a large-scale benchmark with 190M documents and 70K agent-reformulated queries for evaluating retrieval in agentic RAG systems.
Sarvam Teams Up With IDFC FIRST Bank to Build a Self-Improving AI Bank
Sarvam and IDFC FIRST Bank are launching a joint R&D Lab to build banking AI that learns from live operations and improves itself over time.
Sony AI's Hakken Predicted 1.5M Aging Hypotheses and Two Held Up in Lab
Sony AI built a system that reads the biomedical literature and predicts unpublished gene interactions, with two confirmed in wet-lab experiments.
Perplexity's ROSE Serving Stack Beats vLLM on Speed and Latency
Perplexity open-sources details of Ivy, Tulip, and ROSE, its Rust plus Python embedding stack that beats vLLM on latency and throughput.
LlamaIndex's ExtractBench Catches GPT-5 and Gemini-3 Hitting 0% on Wide Schemas
LlamaIndex and Kaggle launch a schema-guided document extraction benchmark that grades models on missing fields, source grounding, and repeated records across 370 enterprise files.
STAIR Beats Every RAG Baseline by Reading Documents Like a Table of Contents
A new generative retriever leverages the table of contents to hit 82.6% Recall@1 on a fresh 18-book benchmark, with hallucinations under 0.05%.
Perplexity's Search API Tops Agent Leaderboard, Beating Rivals at $5 Flat
Perplexity's new Search API takes the top three spots on the Artificial Analysis Search Index, extending the quality-cost Pareto frontier for agentic search.
Exa's Dynamic Highlights Cuts Agent Search Tokens by 40% Without Losing Quality
Exa's new search primitive treats tokens as the retrieval unit rather than documents, cutting agent context bloat by an average of 95%.
Cohere's Parse 5 Beats Azure and Mistral at 95% Lower Cost
Cohere's new 2.3B-parameter vision model turns PDFs into agent-ready Markdown at $1.50 per 1,000 pages, undercutting Mistral by 63%.
Perplexity's Brain Beats Vector Search With a Self-Rewriting Memory Wiki
Perplexity's Brain turns agent memory into a linked Markdown wiki that background agents refine, boosting correctness 9.3 points with 15% fewer tokens.
IBM's Docling Hits 65K Stars Fixing the PDF Problem That Breaks RAG
The open-source document parser Docling has crossed 65,000 GitHub stars, cementing its place as a go-to tool for prepping files for gen AI pipelines.
Code-Graph-RAG Gives AI Agents a Real Map to Stop Hallucinating Monorepos
An open-source tool parses your monorepo with Tree-sitter, builds a Memgraph knowledge graph, and hooks into Claude Code via MCP.
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