A high-performance vector database written in Rust with advanced filtering.
Qdrant is a vector similarity search engine and database written in Rust, emphasizing performance and advanced filtering capabilities. It offers both cloud-hosted and self-hosted deployment options with a focus on production reliability.
Key features include: rich payload filtering with complex conditions, support for multiple vectors per point, quantization options for memory efficiency, distributed deployment for horizontal scaling, and a gRPC API alongside REST. The Rust foundation provides strong performance characteristics and memory safety.
Qdrant is favored by teams needing advanced filtering alongside vector search, or those preferring Rust ecosystem tooling. Its quantization features help manage costs at scale by reducing memory requirements. Engineers should consider: filtering complexity needs, performance requirements, self-hosting capabilities, and integration with existing infrastructure.
A high-performance vector database written in Rust with advanced filtering.
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