#34 · Primary category: AI Cloud Platforms & PaaS

generative-ai-cdk-constructs

agent amazon-bedrock appsync aws aws-cdk content-generation generative-ai huggingface knowledge-base langchain llm opensearch question-answering-system retrieval-augmented-generation sagemaker step-functions summarization

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Project last updated:08/30/26

GitHub Stars

542

Forks

77

Contributors

44

License

Apache-2.0

Why we included this project

Setting up a generative AI workload on AWS usually means stitching together Bedrock, SageMaker, OpenSearch, and Step Functions by hand, and that glue work eats days before any real logic exists. This library turns those recurring patterns into reusable CDK constructs, so a retrieval-augmented generation pipeline, an agent, or a summarization workflow can be deployed from a few lines of infrastructure code. It targets developers and platform engineers who already work with the AWS Cloud Development Kit and want well-architected, multi-service building blocks rather than one-off templates. The constructs publish to npm, PyPI, Maven, NuGet, and Go, so they drop into existing TypeScript, Python, or Java codebases. Just know the project is explicitly experimental: APIs will shift, and you should expect to update code on upgrades.

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