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Qdrant

Open-source vector database for AI similarity search and retrieval.

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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.

Startup details:

Country
🇩🇪 Germany
City
Berlin
Founded
2020
Founders
Andre Zayarni, Andrey Vasnetsov
Funding stage
Series A+
Total funding
~$88M
Valuation
Undisclosed
Open source
Yes

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Qdrant: Open-source vector database for AI similarity search and retrieval. – AI Startups Europe