GH Repository · aws-samples
generative-ai-use-cases
Application implementation with business use cases for safely utilizing generative AI in business operations
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TypeScriptclaude4novadeepseek-r1llama3command-rbedrockchatbotpythonclaude3llmclaudegenerative-airagnodeawsreactsagemakerlambdaimage-generationtypescriptmistral
aws-samples/generative-ai-use-cases is a sample application that implements business use cases for using generative AI safely in business operations, built on AWS services such as Bedrock, SageMaker, and Lambda with a React/TypeScript front end. Per its topics, it covers RAG, chatbot, and image-generation scenarios and supports multiple models including Claude, Mistral, Llama, Command R, DeepSeek-R1, and Nova.
It gives you a ready-made reference implementation for deploying business generative AI use cases on AWS instead of building from scratch.
Use it to
- Deploy a RAG chatbot on AWS Bedrock
- Prototype image-generation use cases
- Evaluate multiple LLM providers in one app
- Study a safe enterprise AI architecture
- Bootstrap a React/TypeScript AI front end
For AWS developers building enterprise generative AI applications
- Role
- rag
- Language
- TypeScript
- Licence
- MIT-0
- Forks
- 433
- Open issues
- 71
- Last push
- 2026-09-13
- Latest release
- v3.0.0 · 2025-01-27
topicsawsbedrockragchatbotgenerative-aitypescript