Trey Grainger - Wormhole Vectors

About this episode

This episode introduces Wormhole Vectors, a new concept in vector search that connects disparate vector spaces.

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). Craft decaf & half caf coffee, 25% discount: https://savorista.com/discount/VECTOR Blog post on Medium: https://dmitry-kan.medium.com/novel-idea-in-vector-search-wormhole-vectors-6093910593b8 Session page on maven: https://maven.com/p/8c7de9/beyond-hybrid-search-with-wormhole-vectors?utm_campaign=NzI2NzIx&utm_medium=ll_share_link&utm_source=instructor To 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=vectorpodcast Get credits to use Aiven's products (PG, Kafka, Valkey, OpenSearch, ClickHouse): https://aiven.io/startups 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…

People in this episode

Host: Dmitry Kan

Guest: Trey Grainger

Topics covered

• Wormhole vectors
• vector search
• hybrid search
• behavioral embeddings
• AI-Powered Search
• vector spaces

Keywords

• Wormhole Vectors
• vector search
• hybrid search
• behavioral vector space
• embeddings
• AI-Powered Search

Sponsors

Aiven

Mentioned in this episode

Organizations: Savorista, Medium, Maven

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