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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.
“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 …
“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).”
“Qdrant has been crucial for our transformation. When you’re dealing with over a billion plus user-generated, multi-modal pieces of content from hundreds of millions of monthly active users across 21 …
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