AI Engineer WF 2026
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Speakers/Jo Kristian Bergum
Jo Kristian Bergum

Jo Kristian Bergum

CEO & co-founder

Hornet.dev

@jobergum

CEO Hornet.dev - building the retrieval engine for agents

Sessions (1)

The unreasonable effectiveness of BM25 for agentic search
11:10 AM·Track 3 · Room 2003

GPT-5 is shockingly good at search, and that changes the "BM25 as a baseline" story. Using GPT-5 search trajectories from BrowseComp-Plus, I'll show how default BM25 parameters and evaluation harnesses can make lexical retrieval look weak, while real agent queries often play directly to BM25's strengths. Much like grep became a core retrieval primitive for coding agents, BM25 is re-emerging as a powerful primitive for agentic search.

Search & Retrievalintermediatetalk