Supabase Vector | The Postgres Vector database.

🚀 Introducing Supabase Vector 🌟 An open-source Vector database that simplifies AI app development! 🤖 Store, index, and access embeddings with ease using pgvector. 🚀 Build powerful AI apps with Hugging Face and OpenAI integration. 🔐 SOC2 Type 2 compliant for maximum security. #AI #OpenSource

Supabase Vector is an open-source Vector database for AI applications, integrating with Hugging Face and OpenAI.
It allows for storing, indexing, and querying vector embeddings in a Postgres instance using pgvector.
The platform is SOC2 Type 2 compliant and features an advanced permissions system for security.
Users can deploy globally with options for distributed data centers or self-hosting on their cloud.
Supabase offers simple yet powerful APIs and client libraries for managing and querying vector stores in Postgres.
Functionality includes upserting vectors with metadata, indexing collections for efficient querying, and filtering based on metadata.
Applications built with Supabase Vector scale effortlessly and include features like semantic search and image similarity detection.
Users can choose between fully managed cloud services or self-hosting for flexibility.
Supabase Vector provides features for automatic backups, scalability, and integration of vector embeddings with transactional data.
Customer testimonials highlight the platform's simplicity, efficiency, and flexibility, especially for storing and querying metadata-rich embeddings.
Enterprise solutions for scaling Supabase Vector are available for consultation.
Supabase products are designed for flexible and scalable developer experiences, offering various tools like database, authentication, storage, edge functions, and realtime features.