Qdrant
High-performance vector search engine
About Qdrant
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.
Qdrant website preview
Company facts
- Category
- AI
- Funding stage
- Series A
- Total raised
- $28M
- Founded
- 2021
- Team size
- 50–100
- HQ
- Berlin
- Country
- Germany
- Website
- qdrant.tech
Founders of Qdrant
- Andrey Vasnetsov
- Andre Zayarni
Investors backing Qdrant
- Unusual Ventures
- Scale Venture Partners
Frequently asked questions
What does Qdrant do?
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.
Where is Qdrant based?
Qdrant is based in Berlin, Germany.
When was Qdrant founded?
Qdrant was founded in 2021.
How much has Qdrant raised?
Qdrant has raised $28M in their Series A round.
Who founded Qdrant?
Qdrant was founded by Andrey Vasnetsov, Andre Zayarni.
Who has invested in Qdrant?
Qdrant is backed by Unusual Ventures, Scale Venture Partners.