Vector Database
Built on pgvector for lightning-fast semantic search across millions of documents. Enterprise-grade performance with PostgreSQL reliability.
Built for AI Workloads
Our vector database is optimized specifically for AI and machine learning applications.
Lightning-Fast Search
Sub-millisecond query times even with millions of vectors using optimized HNSW indexing.
Horizontal Scaling
Seamlessly scale from thousands to billions of vectors with automatic sharding and replication.
Hybrid Search
Combine semantic similarity with metadata filtering for precise, contextual results.
Real-time Updates
Add, update, or delete vectors instantly without rebuilding indexes or downtime.
Technical Specifications
Enterprise-grade technology stack designed for reliability and performance.
Indexing
- HNSW algorithm for approximate nearest neighbor
- IVF-Flat for exact search when needed
- Automatic index optimization
- Incremental index updates
Storage
- Built on PostgreSQL with pgvector
- Compressed vector storage
- Tiered storage (hot/warm/cold)
- Point-in-time recovery
Performance
- GPU-accelerated similarity search
- Query result caching
- Connection pooling
- Read replicas for scale
PostgreSQL-Native Architecture
Built on the world's most advanced open-source database, our vector store inherits decades of reliability and ecosystem support.
pgvector Extension
Native PostgreSQL extension for vector similarity search.
ACID Compliance
Full transactional support for data integrity.
Point-in-Time Recovery
Restore your data to any moment in time.
Automatic Scaling
Scale storage and compute independently as needed.
Fully Managed Service
Focus on building your application while we handle the infrastructure, scaling, and maintenance.
Ready to scale your AI?
Start with our vector database and experience the performance your AI applications deserve.