Vector Database

Integrate pgvector with Your Data Stack

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.

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Why is pgvector better on Shakudo?

Why is pgvector better on Shakudo?

Why Shakudo?

Stress-Free infrastructure

Simplify cloud implementation with Shakudo's seamless deployment on your existing provider or our managed infrastructure solution with industry best practices.

Integrate with everything

Empower your team with the tools they know and love with seamless integration to popular frameworks and tools.

Streamlined Workflow

Streamline production pushes – no DevOps skills needed. Build and launch solutions on the data team-friendly platform with ease.

Ensure Compatibility Across Your Data Stack

Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.
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