Generative AI Application Builder on AWS

Visualize your AI-driven application infrastructure with the Generative AI Application Builder on AWS example.

Generative AI Application Builder on AWS

Visualize your AI-driven application infrastructure with the Generative AI Application Builder on AWS example.

Architecture Diagrams
Diagram-as-code
AWS
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about this example

Generative AI is revolutionizing how we interact with data and content creation. This diagram exemplifies a sophisticated AWS-based generative AI application architecture:

  • Security and Access: Highlights the integration of AWS WAF and Amazon Cognito for robust security and user authentication.
  • Serverless Operations: Depicts AWS Lambda functions as the backbone for scalable, event-driven architecture.
  • Data Management: Showcases Amazon DynamoDB for configuration storage and Amazon S3 for handling large datasets and artifacts.
  • Lifecycle Automation: Outlines the use of AWS CloudFormation for resource management and AWS Step Functions for orchestrating workflows.
When to use
  • AI Application Development: When architecting serverless applications that leverage AI to generate content or data.
  • Infrastructure Security: When implementing strict security measures in an AI application while maintaining user accessibility.
  • Operational Efficiency: When seeking to automate application deployment and lifecycle management in the cloud efficiently.
How to use
  1. Start editing: Duplicate the example file and double-click on the diagram to begin customizing.
  2. Customize diagram: Add or modify nodes, groups, and relationships to tailor the architecture to your generative AI application's specific needs.
  3. Customize layout: Drag elements on the diagram directly on the canvas to optimize the flow and layout.
  4. Collect feedback: Share the file with your team and use the comments feature to gather and address feedback.

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