Agentic search doesn't find pages, it assembles answers
Notes de l’épisode
Ryan sits down with Jeff Wang, co-founder at EXA, to talk about the huge scale required to support trillions of agentic searches, the technical complexities of building custom embeddings and performant vector databases from scratch, and the need to dedupe the massive amounts of redundant content on the web to deliver high-trust answers.
Episode notes:
EXA is a full search engine built specifically for AI agents, featuring custom extraction models and vector databases designed to handle complex, trillion-scale queries without the AI slop.
Connect with Jeff (through his triage agents) by emailing him at [email protected].
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