Qdrant is a high-performance vector database for semantic search, recommendations, and RAG applications, combining efficient indexing, filtering, and payload support with advanced quantization methods that can significantly reduce memory usage while preserving retrieval quality.
Advanced vector quantization cuts RAM usage dramatically.
Rust-built performance with SIMD acceleration delivers faster queries than competitors.
Integrate with your stack quickly using standard interfaces.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Run on your own Kubernetes for horizontal scaling and upgrades as you grow.
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead
Learn about Nebius AI CloudNebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.
Explore the Trust centerApplication support
Provided by Qdrant. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
