Qdrant - vector similarity search engine

Qdrant is an open-source vector similarity search engine written in Rust, designed for high-performance vector operations and neural network applications. It provides efficient similarity search, clustering, and filtering capabilities for high-dimensional vectors. Qdrant features advanced indexing algorithms, real-time updates, distributed deployment options, and sophisticated filtering with payload support. The platform offers REST and gRPC APIs, supports multiple distance metrics, and provides horizontal scaling through sharding. Qdrant is optimized for memory efficiency and can handle billions of vectors while maintaining fast search performance. It integrates seamlessly with popular ML frameworks and embedding models, making it ideal for applications like semantic search, recommendation systems, RAG applications, and neural information retrieval. Qdrant offers both self-hosted open-source version and managed cloud service, with enterprise features including advanced monitoring, backup solutions, and dedicated support. The platform is trusted by AI companies for building production-ready vector search applications.