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Vector Sets
Vector sets

Store, search, and retrieve vector data

Vector Sets

Integrate fast and scalable vector search for text, image, and audio embeddings into your apps with vector sets.

Vector Sets

Seamless text embeddings

Vector sets make it easy to store text embeddings from any source. Easily store and query text embeddings with simple commands that are perfect for semantic search, recommendation systems, and natural language processing apps.

Finding similar vectors with VSIM

Power visual similarity searches for content-based image retrieval, duplicate detection, visual recommendation systems, and high-dimensional image embeddings with higher performance.

Search using a vector directly

Vector sets make audio similarity searches lightning fast for audio fingerprinting, voice recognition, music recommendation, and sound classification.

Why vector sets?

Vector sets a simple, powerful way to work with vector embeddings.

Built for speed

Lightning fast

In-memory performance for real-time vector similarity searches

Integrated modules

Easy integration

Simple commands that work with your existing Redis setup

Endlessly scalable

Endlessly scalable

Handle millions of vectors with consistent performance

True Multi-Model

Multi-modal

Store text, image, audio, or any other vector embeddings

Flexible Deployment

Flexible performance

Works with any embedding model or provider

Recommend

Production-ready

Built with our proven reliability and performance

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