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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.
“Qdrant powers our demanding recommendation and RAG applications. We chose it for its ease of deployment and high performance at scale, and we have been consistently impressed with its results. …
“The more steps you ask an agent to take, the harder it becomes to ensure consistent performance.”
“Despite it being a relatively new project at the time we tested Qdrant, the performance was really good.”
Read Qdrant Reviews, Testimonials & Customer References from 23 real Qdrant customers.
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