Scaling Vector Search in PostgreSQL with pgvectorscale: A Detailed Guide
Vector search in PostgreSQL has gone from “experimental hack” to a serious production option, largely thanks to the pgvector extension. But as teams push from thousands to tens or hundreds of millions of embeddings, a natural question emerges: How do you keep vector search fast and cost‑effective as the dataset grows, without adding yet another external database? This is exactly the problem pgvectorscale is designed to address. In this article, we’ll take a detailed look at pgvectorscale: what it is, how it fits into the Postgres ecosystem, how it scales vector search, and what trade‑offs you should understand before using it. ...