pgvector: Advanced Vector Data Management in PostgreSQL

This presentation provides a deep dive into pgvector, covering its fundamental concepts, setup and configuration, supported data types and distance functions for similarity search, the use of embeddings, and advanced topics like vector storage, indexing (HNSW and IVFFlat), upgrades, and performance tuning in PostgreSQL.
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Agustín joined Percona’s Support team in 2013. His main interests are performance and optimization problem resolution with PostgreSQL and MySQL, and observability with PMM.

