Qdrant is a high-performance, open-source vector similarity search engine and database, purpose-built for AI applications requiring fast and accurate nearest-neighbor search across billions of vectors.
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Free cloud cluster
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About Qdrant
Qdrant is an open-source vector database and search engine written in Rust for maximum performance. The platform provides state-of-the-art vector similarity search with filtering, payload storage, and advanced indexing algorithms optimized for speed and accuracy.
Built for production AI workloads, Qdrant handles billions of vectors with sub-millisecond search latency. The platform supports hybrid search with filtering on structured metadata, enabling complex queries that combine semantic similarity with business logic constraints.
Available as a fully managed cloud service and self-hosted deployment, Qdrant provides a REST and gRPC API that integrates with popular AI frameworks. The platform's Rust foundation provides memory safety and performance advantages over alternatives built on higher-level languages.
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