Vector database

Supabase provides an open source toolkit for developing AI applications using Postgres and pgvector. Use the Supabase client libraries to store, index, and query your vector embeddings at scale.

Key benefits

1. Unified data storage: Keep vector embeddings and relational data in one place, simplifying your data architecture.
2. Efficient similarity search: Perform fast and accurate similarity searches on high-dimensional data.
3. Seamless integration: Easily incorporate vector search into existing applications without additional infrastructure.
4. Scalability: Handle large volumes of vector data with Postgres's proven scalability.
5. Cost-effective: Eliminate the need for separate vector databases, reducing infrastructure costs.
6. Advanced querying: Combine vector similarity search with traditional SQL queries for powerful hybrid searches.
7. Real-time updates: Continuously update and query vector data without complex ETL processes.