Vectorless RAG with PageIndex

Hosted by Trey Grainger, Doug Turnbull, and Matt Overstreet

Mon, Jun 22, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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AI-Powered Search: Modern Retrieval for Humans & Agents
Trey Grainger and Doug Turnbull
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What you'll learn

Chunking with document structure

Learn how PageIndex breaks up content up using the author's own boundaries (table of contents + section breaks)

Integrating PageIndex and OpenSearch

Matt will share how he's integrated PageIndex into IBM's OpenSearch product

Solving RAG without embedddings

RAG implies chunks + embeddings. But navigating document structure to find what's relevant is just as important.

Why this topic matters

RAG too long has ignored document structure. The classic RAG stack assumes chunks + embeddings. Practitioners assume the best way to find what's relevant is through pure question-answering. Matt will share his work integrating PageIndex with OpenSearch, He'll share how PageIndex works and how he integrated integrated it alongside classic RAG.

You'll learn from

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.

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?

Matt Overstreet

Product Manager - IBM OpenSearch

Matt Overstreet

Previously at

Shopify.com
Reddit
CareerBuilder
O'Reilly Media
See all products from AI-Powered Search

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