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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’s ability to index multiple vectors simultaneously and retrieve and re-rank with precision brought significant improvements to our workflow.”
"We're using Qdrant to help segment and source Europe's next wave of extraordinary companies!"
“At Kairoswealth we encountered several use cases necessitating the ability to run similarity queries on large datasets. Key applications included product recommendations and retrieval-augmented generation (RAG).”
Read Qdrant Reviews, Testimonials & Customer References from 23 real Qdrant customers.
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