I’ll explain how I built the Postgres layer for semantic vector search on the Percona Community website: pgvector, chunks, two table modifications, the database schema, how the indexer populates Postgres, and what the SELECT statement looks like during a search.
This is a companion discussion topic for the original entry at https://percona.community/blog/2026/05/31/semantic-search-on-postgresql-part-2/