Скачать или смотреть Trey Grainger - Wormhole Vectors

This lightning session introduces a new idea in vector search - Wormhole vectors!
It has deep roots in physics and allows for transcending spaces of any nature: sparse, vector and behaviour (but could theoretically be any N-dimensional space).

Blog post on Medium:   / novel-idea-in-vector-search-wormhole-vectors  
Blog post on Dev.to: https://dev.to/vectorpodcast/novel-id...

Session page on maven: https://maven.com/p/8c7de9/beyond-hyb...

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Timecodes:
00:00 Intro by Dmitry
01:48 Trey's presentation
03:05 Walk to the AI-Powered Search course by Trey and Doug
07:07 Intro to vector spaces and embeddings
19:03 Disjoint vector spaces and the need of hybrid search
23:11 Different modes of search
24:49 Wormhole vectors
47:49 Q&A

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.