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 70 reference ratings
4.8/5.0 (70)

23Testimonials

  • “Vector stores are definitely here to stay, the objects in the world around us from image, sound, video and text become easily universal and searchable thanks to the embedding models and vector stores. I personally recommend Qdrant. We have been using it for a while and couldn’t be happier.”

    Hooman SedghamizDirector AI/ML
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13 Case Studies

  • How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions

    Raghav SonavaneAssociate Director of Machine Learning Engineering
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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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