qdrant.tech
High-performance open-source vector similarity search engine with advanced filtering and payload support.
Qdrant is an open-source vector database and similarity search engine built in Rust for maximum performance. It stores, indexes, and queries high-dimensional vectors with rich payload filtering, making it ideal for neural network-powered matching and recommendation systems.
Features include hybrid search combining dense and sparse vectors, advanced filtering by metadata, multi-vector support, and distributed deployment for horizontal scaling. Qdrant provides both gRPC and REST APIs with client libraries for Python, JavaScript, Go, and Rust.
Developers use Qdrant for semantic search, RAG applications, recommendation engines, anomaly detection, and image similarity matching. Available as a managed cloud service or self-hosted deployment, it offers flexibility for projects of any scale.
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