Qdrant ranks #6 in Search & Vector Databases AI search.

Qdrant (pronounced 'quadrant') is an open-source vector database and similarity search engine designed for production-grade AI applications. Founded in 2021 and headquartered in Berlin, Germany, it is built entirely in Rust for high throughput, low latency, and memory safety. Qdrant supports dense and sparse vector storage with advanced JSON payload filtering, native hybrid search, multi-vector representations, and multiple quantization methods that reduce memory usage by up to 64x. It is available as a self-hosted open-source binary (Apache 2.0), a fully managed cloud service on AWS, GCP, and Azure, a hybrid cloud offering on customer-owned Kubernetes, and an edge deployment option. With over 28,000 GitHub stars, 60,000+ community members, and $87.8M in total funding, Qdrant serves use cases spanning RAG, semantic search, recommendation systems, and AI agent memory.