Free Lesson
Better Hybrid & Agentic Search with Wormhole Vectors
60 min
Oct 21, 2026 11:30 AM
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What you'll learn
Why today’s hybrid & agentic search miss the mark
Hybrid search fuses separate keyword & vector results. Agents do the same with tools each turn. There's a better way.
Search keyword, semantic, & behavioral spaces in one query
Wormhole vectors leverage your data, unifying understanding across your lexical, behavioral, and semantic vector spaces.
How to implement wormhole vectors in your search
We'll show how to implement wormhole vectors, both modeling and indexing your data and implementing query tools.
Benchmarks and live query examples
We'll show benchmarks & example queries for hybrid search, agentic search, & query understanding with wormhole vectors.
Why this topic matters
Today’s hybrid search is lacking. It runs separate lexical/BM25 and semantic/dense vector searches, then just fuses the results. Agents juggle the same searches as separate tools. We can do much better! Wormhole vectors unify query understanding, matching, and ranking across lexical, semantic & behavioral vector spaces. Trey Grainger walks through how to implement them & shares benchmarks beating standard hybrid search. Bring your questions!
