High-Performance Vector Search for AI
Managed vector database optimized for AI applications. Store and search embeddings with millisecond latency at any scale. Perfect for semantic search, RAG applications, and recommendation systems with OpenAI-compatible API.
Millisecond vector search latency
OpenAI embeddings compatible
Automatic index optimization
Hybrid search (vector + keyword)
Real-time data ingestion
Built-in filtering and metadata
Sub-millisecond vector search across billions of embeddings. Optimized HNSW indexing with automatic tuning for your workload.
OpenAI, Cohere, and HuggingFace embeddings supported natively. Automatic embedding generation available via integrated models.
Combine vector similarity with keyword filtering. Powerful metadata filtering for complex queries and faceted search.
Built for Retrieval Augmented Generation workflows. Chunking, reranking, and context window optimization included.
Get started with Vector Database from $25/mo/month