Read 23 Qdrant reviews and testimonials from customers, explore 13 case studies and customer success stories, and watch 1 customer videos to see why companies chose Qdrant as their undefined

Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data! Powering the next generation of AI applications with advanced and high-performant vector similarity search technology.

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Customer Rating Review Scorebased on 97 reference ratings
4.8/5.0 (97)

23Testimonials

  • “Qdrant’s ability to handle large-scale models and the flexibility it offers in terms of data management has been crucial for us. The observability features, such as historical graphs of RAM, Disk, and CPU, provided by Qdrant are also particularly useful, allowing us to plan our scaling strategy effectively.”

    Stanislas PoluCo-Founder
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13 Case Studies

  • Using AI to Unlock Company Knowledge and Drive Employee Productivity

    Stanislas PoluCo-Founder
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1 Customer Videos

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    Arun JosephLeads Engineering and Architecture
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Read Qdrant Reviews, Testimonials & Customer References from 23 real Qdrant customers.

Browse Qdrant Case Studies, Customer Success Stories, & Customer References from 13 businesses that use Qdrant.

Watch Qdrant Customer Videos to learn why 1 businesses chose Qdrant.

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