Database

What is pgvector, and How to Deploy It in an Enterprise Data Stack?

No items found.

What is pgvector?

Pgvector is an extension for PostgreSQL that introduces efficient vector storage and similarity search functionality into the database. Designed for machine learning workloads, pgvector enables users to store high-dimensional vectors and perform nearest neighbor searches with ease. The extension provides the power and flexibility of vector search while staying within the familiar, robust PostgreSQL environment. This is particularly useful for projects where vector data types and operations are necessary, but the overhead of a separate vector database isn't desired.

Use cases for pgvector

No items found.
See all use cases >

Why is pgvector better on Shakudo?

Why is pgvector better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

Get a personalized demo

Ready to see Shakudo in action?

Neal Gilmore