Overview
A SaaS solution built on the popular open-source low-latency vector database. Benefit from out-of-the-box support for multimodal media types (text, images, etc.) and seamlessly combine vector search with structured filtering. Leverage the fault tolerance of a cloud-native database accessible through a variety of client-side programming languages, enhancing your data capabilities effortlessly.
Please note that if you cancel your SaaS Marketplace Subscription, Weaviate will delete your clusters and your Weaviate organization.
Highlights
- End to end vector database for vector similarity search, hybrid search, and advanced filtered search.
- Optional integrations with SageMaker, Bedrock, OpenAI, Cohere, HuggingFace, and many others.
- Suited for vector search, retrieval augmented generation (RAG), and generative search.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/unit |
|---|---|
Weaviate Cloud Serverless | $0.00 |
Weaviate Cloud Serverless (HA, Standard SLA) per 1M Dimensions Stored (min $75 pm) | $0.285 |
Weaviate Cloud Serverless (non-HA, Standard SLA) per 1M Dimensions Stored (min $25 pm) | $0.095 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please visit https://weaviate.io/partners/aws/contactus or reach out to support@weaviate.com to request additional support.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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