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About Qdrant
Qdrant is an open-source vector database and similarity search engine designed for efficient storage, indexing, and searching of high-dimensional vector embeddings. Built in Rust, it delivers high performance and reliability, making it ideal for AI workloads such as semantic search and recommendation systems. Founded in 2021 by André Zayarni and Andrey Vasnetsov, Qdrant has evolved into a robust platform that supports both startups and enterprise-scale applications.
The Qdrant Vector Database offers a production-ready solution with a user-friendly API for managing billions of vector points and associated metadata. It provides flexible deployment options, including cloud-native managed services and on-premises setups, and features like built-in compression for cost-efficient storage. Qdrant Cloud ensures enterprise-grade managed hosting with scalability and high availability. The company serves a diverse clientele, including notable organizations like Hubspot, Bayer, and Bosch, empowering them to enhance their AI applications.
The Qdrant Vector Database offers a production-ready solution with a user-friendly API for managing billions of vector points and associated metadata. It provides flexible deployment options, including cloud-native managed services and on-premises setups, and features like built-in compression for cost-efficient storage. Qdrant Cloud ensures enterprise-grade managed hosting with scalability and high availability. The company serves a diverse clientele, including notable organizations like Hubspot, Bayer, and Bosch, empowering them to enhance their AI applications.
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