Weaviate is a platform that provides the advantages of both vector and keyword search right out of the box. It allows to store and retrieve data objects and vector embeddings, improves semantic understanding and accuracy. Weaviate has pre built modules for popular ML models and frameworks, enabling faster development and iteration. At the same time, it is possible to connect to your favorite ML models to build intuitive, reliable AI applications that scale. Weaviate has an active community that helps developers of all levels build end to end AI applications. You can deploy Weaviate in your Nebius AI Managed Service for Kubernetes clusters using this Marketplace product. If you are going to use this product in production, we recommend to configure it according to the Weaviate recommendations.
Deploy Weaviate on Kubernetes via Helm.
Store and query embeddings for semantic retrieval workloads.
Combine vector search with metadata filters and keyword capabilities.
Scale indexing and query workloads with Kubernetes resources.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy Weaviate on Kubernetes.
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 Nebius. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
