Vector search without the cloud bill

Self-hosted vector database for semantic search, RAG, and recommendations. 

• No runaway costs. Self-hosting cuts bills 50–75% vs. managed services. Query costs stay flat as your data grows, not 10x worse.
  
• Deploy anywhere. Docker image, single command. Runs on-prem, at the edge, or behind your firewall. No cloud dependency. No data egress fees.
  
• Production-ready features. HNSW indexing, predicate search, filtering, metadata payloads. Sub-100ms search latency on million-vector datasets.
  
• Developer velocity. Python, JavaScript, REST, gRPC. Schema-less JSON payloads. No vendor lock-in or managed service overhead.