Pricing - Docs - Blog Supabase Vector An open source Vector database for developing AI applications. Use pgvector to store, index, and access embeddings, and our AI toolkit to build AI applications with Hugging Face and
powerful APIs Easy-to-use client libraries for managing and querying vector stores in Postgres. Explore documentation Efficiently upsert millions of vectors with important metadata.
with Supabase Vector? Scale effortlessly from experimentation to production-ready AI applications. Semantic Search Search your own knowledge base by semantic similarity. View example ChatGPT Plugins Enhance chatbot memor
Scale to millions Develop, integrate, and deploy secure and enterprise-grade AI applications at unprecedented speed. Explore documentation
Start with our hassle-free cloud platform, or self-host to keep everything within your infrastructure. You choose.
Automatically provision and configure a fleet of applications across multiple regions to reduce read latency.
Store vector embeddings in the same database as your transactional data, simplifying your applications and improving performance.
Supabase uses open source tools to increase portability and avoid lock-in, making it easy to migrate in and out.
Protect your data using automatic backups with Point In Time Recovery to ensure it's always safe and recoverable.
Designed for unparalleled high performance and availability at global scale.
Talk to one of our experts about scaling Supabase Vector and managing embeddings at scale.
