Qdrant
FeaturedVector similarity search engine.
Founded in 2021 and written completely in Rust, Qdrant engineered highly-performant structural logic loops to index high-dimensional neural network vectors. It supports complex structured data tracking, letting AI search applications filter vector data arrays instantly across specific business criteria fields without data loss anomalies.
Active Founders
AV
Andrey Vasnetsov
Founder / CTO
Andrey designed Qdrant to bring advanced data typing filtering constraints to raw neural vector matching arrays, building reliable indexes for large scale search loops.
Qdrant
Founded2021
BatchW2022
Team Size45
StatusSeries A
LocationBerlin, Germany, Germany
CategoryArtificial Intelligence