PostgresML

Setting up a machine learning pipeline usually means managing a tangle of separate systems — databases, model servers, vector stores, embedding pipelines, and more. PostgresML cuts through that complexity. It is a complete MLOps platform built as a PostgreSQL extension, letting you train, deploy, and run powerful machine learning models directly inside your existing database.

With GPU-powered Postgres databases, you can handle vector embeddings, generate real-time outputs, and build full AI applications without ever leaving your data layer. PostgresML consolidates vector databases, embedding models, and LLMs into one unified system — dramatically simplifying your AI stack and reducing the infrastructure overhead that slows teams down.