Qdrant

Qdrant is an open-source vector search engine and database designed for high-performance similarity search and AI applications. It’s built with Rust for speed and reliability, offering advanced filtering and search capabilities. Key features include fast vector similarity search with HNSW algorithm, payload-based filtering for hybrid search, JSON-like payload support with full-text search, distributed deployment for scalability, quantization for memory efficiency, multiple distance metrics (cosine, Euclidean, dot product), snapshot and WAL for data durability, REST and gRPC APIs, horizontal scaling with sharding, and managed cloud service available. Qdrant is used for semantic search, recommendation systems, RAG applications, image and video search, and other AI applications requiring fast and accurate vector search at scale.