Mon, Jun 22, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Mon, Jun 22, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Chunking with document structure
Integrating PageIndex and OpenSearch
Solving RAG without embedddings
Why this topic matters
You'll learn from
Matt Overstreet
Product Manager - IBM OpenSearch
Matt Overstreet has spent fifteen years building the distributed databases and search systems behind mission-critical applications. He cut his teeth on search relevance at OpenSource Connections — during the years that gave the "relevance engineer" its name — working alongside Doug Turnbull and John Berryman as Relevant Search was being written, and was a founding participant at Haystack. Since then he's deployed or supported Cassandra for everyone from FedEx to Venmo, helped AWS and Google prove distributed data at Kubernetes scale, and today guides product for OpenSearch inside IBM's watsonx.data. His current obsession: where agentic memory meets traditional retrieval.
Doug Turnbull
Co-Author AI Powered Search
In 2012, Doug got bit by the search bug and he's still trying to keep up. From full-text search, to Learning to Rank models, to search agents that generate their own code, he knows the endless landscape first hand. Yet Doug wants to deeply understand the what / how / why, and help teams use these technologies practically, distinguishing hype from reality.
He’s led search at Reddit, Shopify, and Wikipedia, authored Relevant Search and AI Powered Search, and advised 100+ organizations over the years - all in pursuit of the same question: how does search actually work?
Trey Grainger
Author, AI-Powered Search
Trey Grainger is lead author of the book AI-Powered Search (Manning 2025) and founder of Searchkernel, a software consultancy building the next generation of AI-powered search. He also serves as a technical advisor at OpenSource Connections.
He previously served as CTO of Presearch, a decentralized web search engine, and as Chief Algorithms Officer and SVP of Engineering at Lucidworks, a search company whose technology powers hundreds of the world’s leading organizations. Trey is also co-author of the book Solr in Action (Manning 2014), as well as over a dozen other publications including books, journals, and research papers. Trey has 18 years of experience in search and data science focused on building self-learning search platforms integrating the most successful AI Search techniques.
Trey teaches AI Search in the course AI-Powered Search: Modern Retrieval for Humans & Agents with Doug Turnbull.
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