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
Categories
DatabaseFollow pgai
You Might Also Like
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of pgai!