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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.
“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).”
“We LOVE Qdrant! The exceptional engineering, strong business value, and outstanding team behind the product drove our choice. Thank you for your great contribution to the technology community!”
"We explored alternative solutions and discovered that Qdrant offered the easiest implementation process. Their comprehensive documentation facilitated testing, and we found no drawbacks for our specific use case. Moreover, the …
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