This quickstart demonstrates how pgai Vectorizer enables semantic search and RAG over PostgreSQL data by automatically creating and synchronizing embeddings as data changes.

Oct 13, 2025 · The key "secret sauce" of pgai Vectorizer is its declarative approach to embedding generation. Simply define your pipeline and let Vectorizer handle the operational complexity of …

Jun 11, 2024 · Introducing pgai, a new open-source extension that brings embedding and generation models closer to the database, making PostgreSQL an even better database for AI applications.

Mar 21, 2025 · The Timescale — a company behind TimescaleDB, the open-source time-series database built on PostgreSQL — has developed pgai, a powerful open-source extension that …

This document provides a comprehensive overview of pgai, its architecture, core components, and distribution models. It covers the system's purpose as a PostgreSQL AI extension and Python library …

Oct 14, 2025 · pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases.

Oct 29, 2024 · Timescale embeds advanced AI into PostgreSQL, the most popular database, leveling the playing field and equipping every developer to build AI—fast and hassle-free.

Dec 11, 2024 · Pgai is an open-source extension that brings embedding and generation models closer to the database, making PostgreSQL an even better database for AI applications.

Dec 19, 2024 · pgai simplifies the process of building search, Retrieval Augmented Generation (RAG), and other AI applications with PostgreSQL. It complements popular extensions for vector search in …

That's where the team at Timescale just released a new extension called pgai. With pgai, you can seamlessly incorporate AI capabilities directly into your PostgreSQL database, eliminating the need …