Automate Your PostgreSQL RAG Pipelines

Vectorize now integrates with PostgreSQL! 🎉

With pgVector, a PostgreSQL extension, you can store vector embeddings directly in your existing database, eliminating the need for a separate vector database.

Vectorize simplifies the process of populating those embeddings and managing your retrieval-augmented generation (RAG) pipelines. It takes a couple of minutes to build and deploy a pipeline. Vectorize handles all the complicated, time-consuming work: data extraction, preprocessing, and embedding generation. As your data evolves, Vectorize keeps your vectors fresh by automatically updating your embeddings.

Ready to get started? Sign up for Vectorize, check out our quickstart, and create your first RAG pipeline today!

Quickstart: Create a RAG Pipeline with PostgreSQL