QD
Qdrant
High-performance vector search engine
AISeries AEst. 202150–100 employeesBerlin
Qdrant is a vector similarity search engine purpose-built for performance and scalability. Written in Rust, it offers the best performance per dollar for vector search workloads, with advanced filtering, payload storage, and distributed deployment. Used by thousands of teams building RAG applications, semantic search, and recommendation systems.
Total Raised$28M
Unusual VenturesScale Venture Partners
Founders
A
Andrey VasnetsovA
Andre Zayarni
