Store, search, and retrieve vector data
Integrate fast and scalable vector search for text, image, and audio embeddings into your apps with 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.
Lightning fast
In-memory performance for real-time vector similarity searches
Easy integration
Simple commands that work with your existing Redis setup
Endlessly scalable
Handle millions of vectors with consistent performance
Multi-modal
Store text, image, audio, or any other vector embeddings
Flexible performance
Works with any embedding model or provider
Production-ready
Built with our proven reliability and performance
Get started
Speak to a Redis expert and learn more about enterprise-grade Redis today.