Vector data in Postgres - how's it different from "normal" data? | POSETTE 2024

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Video of a conference talk about vector data in Postgres presented by Heikki Linnakangas at POSETTE: An Event for Postgres 2024. AI works with vectors. But what is a vector? How is a vector in Postgres different from integers, text, geospatial data, or other traditional Postgres datatypes? Why can't you create a regular B-tree index over vectors? Ok, but why not a GiST index? Heikki will touch on these Postgres and pgvector topics: - pgvector extension's data types, including the new sparse and bit vector types - Curse of dimensionality with vector databases - Vector search algorithms, including HNSW (hierarchical navigable small worlds) Heikki is a cofounder of Neon and a long-time PostgreSQL developer and committer. Since 2023, he has also been contributing to pgvector. Chapters: 00:00 - Intro 01:37 - Vector search is expensive 02:30 - What is a vector? 03:57 - Vectors are large 06:36 - What is vector search? 11:45 - Vector search is approximate 15:17 - Types of vector search algorithms 20:12 - Three new datatypes in pgvector 0.7.0 23:55 - Summary 📕 Everything you need to know about POSETTE: An Event for Postgres 2024 can be found at: https://aka.ms/posette ✅ Learn more: Watch more POSETTE talks: https://aka.ms/posette-playlist-2024 📌 Let’s connect: X – @PosetteConf https://x.com/PosetteConf Mastodon - @posetteconf https://mastodon.social/@posetteconf Threads – @posetteconf https://www.threads.net/@posetteconf 🔔 Subscribe to the POSETTE News: https://aka.ms/poset

Published 2024-06-13 · Watch on YouTube ↗
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