Staging environment
Free Lesson

Cheat at Search Essentials: Embedding Retrieval

Part of Cheat at Search Essentials

60 min
May 12, 2026 12:00 PM
Virtual (Zoom)

In this video

What you'll learn

Learn how embeddings implement 'semantic search'

What is a 'vector embedding' and why do they capture meaning? And how can that be used to build a search system?

Tackle the practical realities vector retrieval

Why do we need a vector database? And why are they different from traditional search engines? Should they be different?

How are vector + lexical techniques combined?

Offer a concrete and concise explanation of how you will help students understand and apply this lesson.

Why this topic matters

For decades, search techniques were dominated by lexical search. IE some form of 'dumb token matching'. Yet in the last decade, embedding based retrieval has completely upended that paradigm, giving us results focused on semantic search before strings.

You'll learn from

Doug Turnbull

Doug Turnbull

Led search teams at Reddit, Shopify, Wikipedia, and more

Worked with

Reddit
Shopify.com
Wikimedia Foundation
LexisNexis
Wayfair
See all products from Doug