aws-samples/generative-ai-use-cases

Health v2 · maintenance only

Adoption not part of the score

1379 stars · 433 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Generative AI Use Cases (GenU) is a well-architected sample application from AWS that demonstrates business use cases for generative AI, built on Amazon Bedrock with a React/TypeScript frontend and serverless backend. It ships with ready-made use cases such as chat, RAG chat, text generation, summarization, and agent chat, plus builders for custom use cases and agents.

Use cases

• deploy a secure enterprise chatbot on AWS Bedrock
• build a RAG chatbot over internal company documents
• try out generative AI business use cases before building custom solutions
• create custom LLM use cases from prompt templates without coding
• build and deploy AI agents with MCP servers on AWS
• experiment with prompt engineering against multiple LLMs
• automate internal inquiries with a document-grounded assistant

When to choose

• you want a production-ready, well-architected reference implementation for generative AI on AWS
• your organization uses Amazon Bedrock and wants secure, deployable AI use cases
• you need RAG, agent, and chat capabilities out of the box with customization options
• you want to evaluate multiple LLMs (Claude, Mistral, Llama, DeepSeek, Nova) in one platform

When to avoid

• you are not using AWS or want a cloud-provider-agnostic solution
• you need a lightweight library or SDK to embed in an existing app rather than a full application
• you want a simple open-source chat UI without AWS infrastructure dependencies
• you need fine-grained control over the full stack beyond what a sample application provides

Facets

application · maturity active

chatbot rag llm-inference agent-framework prompt-engineering chat-interface image-processing web-framework artificial-intelligence large-language-models chatbots web-development cloud-computing cloud serverless amazon-bedrock generative-ai enterprise-ai use-case-builder agent-builder aws-samples self-hosted-ai llm-chat retrieval-augmented-generation ai-agents web-server typescript react sagemaker bedrock

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markdown · JSON · MCP: product_card(name="aws-samples/generative-ai-use-cases")