Free Lesson

Vectorless RAG with PageIndex

Part of The Frontier of AI Search

60 min
Jun 22, 2026 1:00 PM
Virtual (Zoom)

In this video

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

Matt Overstreet

Matt Overstreet

Product Manager - IBM OpenSearch

Doug Turnbull

Doug Turnbull

Co-Author AI Powered Search

Trey Grainger

Trey Grainger

Author, AI-Powered Search

Previously at

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Reddit
CareerBuilder
O'Reilly Media
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