June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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Search & RetrievalSession

The unreasonable effectiveness of BM25 for agentic search

Jo Kristian Bergum

When
Tuesday, June 3011:10 AM – 11:30 AM · 20 min
Where
Track 3San Francisco, CA · imported from ai.engineer's public schedule feed
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About this session

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.

Speaker

Jo Kristian Bergum
Jo Kristian Bergum

CEO, Hornet.dev

CEO Hornet.dev - building the retrieval engine for agents

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