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

Andrey Vasnetsov

Andre Zayarni

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