Free Lesson
Beyond Hybrid Search with "Wormhole Vectors"
60 min
Oct 21, 2025 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
What are "Wormhole Vectors"?
Learn how wormhole vectors work & how to use them to traverse between disparate vector spaces for better hybrid search.
Building a behavioral vector space from click stream data
Learn to generate behavioral embeddings to be integrated with dense/semantic and sparse/lexical vector queries.
Traverse lexical, semantic, & behavioral vectors spaces
Jump back and forth between multiple dense and sparse vector spaces in the same query
Advanced hybrid search techniques (beyond fusion algorithms)
Hybrid search is more than mixing lexical + semantic search. See advanced techniques and where wormhole vectors fit in.
Why this topic matters
"Wormhole Vectors" are an experimental approach for hybrid search that enables traversal across disparate vector spaces (lexical, semantic, behavioral, etc.), rather than merging separate sparse/lexical and dense/semantic search results using a fusion algorithm. Learn how to construct wormhole vectors to jump between separate indexes and how this new technique could be the future of hybrid search.
You'll learn from
Trey Grainger
Founder @ Searchkernel, Author, "AI-Powered Search"
Dmitry Kan
Founder & Host: Vector Podcast
Built Search At
