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Talks this week + other events. Hope you can make it and help keep this community awesome 😎 First - Leonie Monigatti will share how Context Engineering IS Agentic Search. Tuesday, 10:30AM ET What everyone is missing: when people talk aobut "context engineering", they really ought to be improving search. Leonie will cast aside myths about context engineering to show how agents build their own context via retrieval. And THAT, not prompting magic, decides whether your AI app is successful. Signup here: https://maven.com/p/1c532b/agentic-search-for-context-engineering Second - your coding career in the agentic eraWednesday, 2PM ET Brian Pedersen talks to hiring managers every day. He's the hiring manager whisperer. He sees how interviews go right and wrong in todays crazy tech hiring world. Signup here - https://maven.com/p/38ec62/your-tech-career-in-the-ai-age-q-a-w-a-recruiter Next week
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I share search tips, blog articles, and free events I'm hosting about the search+retreval industry, vector databases, information retrieval and more.
Agentic search gets interesting when agents do not know how to find the right answer. Oh, the agent might think it knows. It might confidently BS us. But the agent’s poor domain intuition steers itself astray. Agents make false assumptions about what our users think is relevant. Our fashionista users think “red shoes” should return high-heels. When I worked at one company ABE wasn’t a president, it was an A/B testing tool. Agents need context to know these things - and context engineering...
Upcoming events in the next week or so Show us your skills w/ Hugo Bowne-Anderson Thursday May 28th - https://luma.com/ltpzpqgw Pray to the demo gods! I'll be joining Hugo Bowne-Anderson's "Show us your skills" event on Luma - highlighting using a coding agent to optimize search rankers.. Come hang out if you want to see how others in the industry leverage agentic AI to build in their domain. User search trends in 2026 Monday June 1 -...
At Haystack I spoke about autoresearch: Code generation to optimize search rankers. Can we use it to improve on BM25? This article represents my lab notes. My agent starts with a BM25 implementation, proposes changes, and accepts those that improve NDCG. We’ll zero-in on passage retrieval dataset MSMarco. I won’t claim I’ve found a “better BM25” but I’ve iterated towards a decent tuning regime. All while learning valuable lessons about how validation data can leak. Let’s walk through what...