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Vector PodcastAuthor: Dmitry Kan
Vector Podcast is here to bring you the depth and breadth of Search Engine Technology, Product, Marketing, Business. In the podcast we talk with engineers, entrepreneurs, thinkers and tinkerers, who put their soul into search. Depending on your interest, you should find a matching topic for you -- whether it is deep algorithmic aspect of search engines and information retrieval field, or examples of products offering deep tech to its users. "Vector" -- because it aims to cover an emerging field of vector similarity search, giving you the ability to search content beyond text: audio, video, images and more. "Vector" also because it is all about vector in your profession, product, marketing and business.Podcast website: https://www.vectorpodcast.com/Dmitry is blogging on https://dmitry-kan.medium.com/ Language: en Genres: Education, Science, Self-Improvement Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Trey Grainger - Wormhole Vectors
Episode 2
Thursday, 6 November, 2025
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: https://dmitry-kan.medium.com/novel-idea-in-vector-search-wormhole-vectors-6093910593b8Session page on maven: https://maven.com/p/8c7de9/beyond-hybrid-search-with-wormhole-vectors?utm_campaign=NzI2NzIx&utm_medium=ll_share_link&utm_source=instructorTo try the managed OpenSearch (multi-cloud, automatic backups, disaster recovery, vector search and more), go here: https://console.aiven.io/signup?utm_source=youtube&utm_medium&&utm_content=vectorpodcastGet credits to use Aiven's products (PG, Kafka, Valkey, OpenSearch, ClickHouse): https://aiven.io/startupsTimecodes:00:00 Intro by Dmitry01:48 Trey's presentation03:05 Walk to the AI-Powered Search course by Trey and Doug07:07 Intro to vector spaces and embeddings19:03 Disjoint vector spaces and the need of hybrid search23:11 Different modes of search24:49 Wormhole vectors47:49 Q&AWhat 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 dataLearn to generate behavioral embeddings to be integrated with dense/semantic and sparse/lexical vector queries.- Traverse lexical, semantic, & behavioral vectors spacesJump 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.YouTube: https://www.youtube.com/watch?v=fvDC7nK-_C0
