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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
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? Slides for this talk: https://speakerdeck.com/the4thdoctor/vindicating-zfs-with-postgresql-unleashing-the-power-of-scalability-9a17f9c3-d69f-48f3-8a9f-c22e31c9ff0d
#PosetteConf #PostgreSQL #AI
Presenters:
Heikki Linnakangas, PostgreSQL hacker & committer, co-founder of Neon Read More Microsoft Developer
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