
Berlin-based Qdrant develops a high-performance, open-source vector database - core infrastructure for semantic search, recommendations and the retrieval layer behind modern AI applications.
Written in Rust for speed, it has racked up millions of open-source installs alongside thousands of enterprise deployments. As retrieval-augmented generation became standard practice, demand for fast, scalable vector storage surged, and Qdrant rode that wave.
It is one of Europe's most-used pieces of AI plumbing.