Vector database built in Rust with real-time indexing and hybrid dense-sparse search. Designed for AI applications needing scale.
Production-scale vector database with built-in embeddings and natural language querying. Multi-tenant architecture for AI teams.
Combines vector search, text search, and ML ranking in one platform. Handles billions of items with sub-100ms latency at scale.
