Vector database
Store vector embeddings right next to the rest of your data.
Stage:
General Availability
Available on self-hosted:
Yes
Use the Supabase client libraries to store, index, and query your vector embeddings at scale.
Key benefits
- Unified data storage: Keep vector embeddings and relational data in one place, simplifying your data architecture.
- Efficient similarity search: Perform fast and accurate similarity searches on high-dimensional data.
- Seamless integration: Easily incorporate vector search into existing applications without additional infrastructure.
- Scalability: Handle large volumes of vector data with Postgres's proven scalability.
- Cost-effective: Eliminate the need for separate vector databases, reducing infrastructure costs.
- Advanced querying: Combine vector similarity search with traditional SQL queries for powerful hybrid searches.
- Real-time updates: Continuously update and query vector data without complex ETL processes.