pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment.

Features

  • Includes pgvector for storing and querying vector embeddings
  • Provides pgvectorscale for enhanced indexing using StreamingDiskANN
  • Offers pgai extension to call AI models directly from SQL
  • Supports building semantic search and RAG applications within PostgreSQL
  • Enables storage of vector embeddings alongside relational and time-series data
  • Designed for seamless integration with Timescale Cloud

Project Samples

Project Activity

See All Activity >

Categories

Database

Follow pgai

pgai Web Site

Other Useful Business Software
Auth0 for AI Agents now in GA Icon
Auth0 for AI Agents now in GA

Ready to implement AI with confidence (without sacrificing security)?

Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
Start building today
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of pgai!

Additional Project Details

Programming Language

Python

Related Categories

Python Database Software

Registered

2025-06-02