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 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 …
"Go ahead and checkout Qdrant. I plan to build a movie retrieval search where you can ask anything regarding a movie based on the vector embeddings generated by a LLM. …
“Our solution has revolutionized how first-level support operates in the insurance industry, drastically improving efficiency and customer satisfaction.”
Read Qdrant Reviews, Testimonials & Customer References from 23 real Qdrant customers.
Browse Qdrant Case Studies, Customer Success Stories, & Customer References from 13 businesses that use Qdrant.
Watch Qdrant Customer Videos to learn why 1 businesses chose Qdrant.
FeaturedCustomers has 1,899,738+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.
