S
other- Words
- 419
- Reading time
- 2 min
- Last crawled
- 2026-08-27
- Cited by
- 1 of their pages
- Language
- EN
cat supabase.com/modules/vector.md
- [ Pricing ](https://supabase.com/pricing)- [ Docs ](https://supabase.com/docs)- [ Blog ](https://supabase.com/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 OpenAI. ### Postgres + pgvector Use pgvector to store, query, and index your vector embeddings at scale in a Postgres instance.  ### OpenAI and More Easily connect to any LLM or embeddings API, including Hugging Face, SageMaker and more. ### Secure and Scalable Supabase is SOC2 Type 2 compliant, and comes with an advanced permissions system. ### Deploy Globally Choose from many globally-distributed data centres or self-host on your own cloud. ## Leverage the tools you love  ## Simple yet powerful APIs Easy-to-use client libraries for managing and querying vector stores in Postgres. [Explore documentation](https://supabase.com/docs/guides/ai/vecs-python-client) Efficiently upsert millions of vectors with important metadata. ## What you can build with Supabase Vector? Scale effortlessly from experimentation to production-ready AI applications. #### Semantic Search Search your own knowledge base by semantic similarity. [View example](https://supabase.com/docs/guides/ai/examples/headless-vector-search) #### ChatGPT Plugins Enhance chatbot memory with content-based long-term retention. [View example](https://supabase.com/docs/guides/ai/examples/building-chatgpt-plugins) #### OpenAI completions Generate GPT text completions using OpenAI in Edge Functions. [View example](https://supabase.com/docs/guides/ai/examples/openai) #### Image Similarity Transform images into image vector representations to detect similarity patterns. [Open in Colab](https://colab.research.google.com/github/supabase/supabase/blob/master/examples/ai/face_similarity.ipynb) #### Data Management Automatically tag, deduplicate or detect patterns in your vector store. [Open in Colab](https://colab.research.google.com/github/supabase/supabase/blob/master/examples/ai/semantic_text_deduplication.ipynb) #### Next.js Vector Search Learn how to build ChatGPT-style doc search powered by Next.js and OpenAI. [View example](https://supabase.com/docs/guides/ai/examples/nextjs-vector-search) ## Powerful Features Scale to millions Develop, integrate, and deploy secure and enterprise-grade AI applications at unprecedented speed. [Explore documentation](https://supabase.com/docs/guides/ai) ## Fully managed or Self-Hosted Start with our hassle-free cloud platform, or self-host to keep everything within your infrastructure. You choose. ## Global & Multi-Region Automatically provision and configure a fleet of applications across multiple regions to reduce read latency. ## Integrated Store vector embeddings in the same database as your transactional data, simplifying your applications and improving performance. ## No Vendor Lock-In Supabase uses open source tools to increase portability and avoid lock-in, making it easy to migrate in and out. ## Automatic Backups Protect your data using automatic backups with Point In Time Recovery to ensure it's always safe and recoverable. ## Highly Scalable Designed for unparalleled high performance and availability at global scale. ## Supabase Vector for Enterprise Talk to one of our experts about scaling Supabase Vector and managing embeddings at scale.
