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.
“We looked at all the big options out there right now for vector databases, with our focus on ease of use, performance, pricing, and communication. Qdrant came out on top …
“The more steps you ask an agent to take, the harder it becomes to ensure consistent performance.”
“Qdrant powers our demanding recommendation and RAG applications. We chose it for its ease of deployment and high performance at scale, and we have been consistently impressed with its results. …
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 1,906,061+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.
