Automate Your PostgreSQL RAG Pipelines

Vectorize has introduced integration with PostgreSQL through the pgVector extension, allowing users to store vector embeddings directly in their existing databases without needing a separate vector database. This integration streamlines the creation and management of retrieval-augmented generation (RAG) pipelines by automating complex tasks such as data extraction, preprocessing, and embedding generation. Vectorize ensures that vectors remain current by automatically updating embeddings as data changes. The platform offers a quick setup process, enabling users to build and deploy a pipeline in just a few minutes, with options available for both developers and enterprises.