AgentIR embeds agent reasoning traces into retrieval, plus a BrowseComp-Plus benchmark
CShorten30 · x · 2026-09-16
Weaviate Podcast #136 with Zijian Chen and Xueguang Ma covers AgentIR: as agents — not humans — become search engines' primary users, retrieval algorithms are no longer optimized for their actual users. AgentIR embeds the agent's full reasoning trace alongside the query, exploiting a signal humans never provide and existing retrievers discard. The episode also introduces BrowseComp-Plus, a benchmark curated from over 400 hours of human annotation.
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