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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.
“Despite it being a relatively new project at the time we tested Qdrant, the performance was really good.”
"With Qdrant, we found the missing piece to develop our own provider independent multimodal generative Al platform on enterprise scale."
“Using Qdrant as a vector database for our quality control allowed us to review 10x more data by exploiting repetitions and deduplicating samples and doing that at scale with having …
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