Free Lesson
Real-time Query Refinement with Control Vectors
Part of The Frontier of AI Search
60 min
Jun 19, 2026 3:00 PM
Virtual (Zoom)
In this video
What you'll learn
What are “control vectors”?
How to steer query embeddings on the fly toward refined contexts and personalized user interests.
The “vector math” behind control vectors
Applying the well-known “king - man + woman = queen” approach to generate vector embeddings with updated meanings.
How control vectors improve vector search experiences
See how the UX and relevance of vector search are enhanced by integrating control vectors into query interpretation.
See a live e-commerce search experience and code walkthrough
We'll walk though the source code + demo a live implementation of control vectors using Vespa.ai with Vectra embeddings.
Why this topic matters
Semantic search on embeddings can return low precision results due to a lack of explicit filtering (as in lexical search). Can we solve this by letting users directly inject inclusions/exclusions and updated meaning into their query vectors? Piotr, Trey, & Philippe will introduce “control vectors” for vector search, showing the vector math, code, and a demo of a novel e-commerce search experience.
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