A collection of experimental demos, prototypes, and code snippets showcasing the art of the possible with AI using AWS services and open-source tools.
π Visit our website: https://aws-samples.github.io/sample-ai-possibilities/
This repository serves as a playground for exploring cutting-edge AI capabilities through practical examples. Each sample illustrates different AI possibilities using AWS services (like Amazon Bedrock, SageMaker) and popular open-source frameworks.
The repository is organized into three main categories:
Full-featured applications demonstrating complete AI solutions. These are comprehensive examples that showcase end-to-end implementations with frontend interfaces, backend services, and AI integrations.
Examples:
- Voice-enabled health AI agents with real-time streaming
- Interactive chatbots with knowledge base integration
- Multi-modal AI applications
Smaller proof-of-concepts and experimental features. These focus on testing specific AI capabilities or integrations without full application scaffolding.
Coming soon:
- Novel AI model combinations
- Experimental features and APIs
- Quick prototypes of emerging AI patterns
Code fragments and utility functions that can be reused across projects. These are building blocks for AI applications.
Coming soon:
- Common AI patterns and utilities
- Integration helpers
- Prompt engineering templates
Each demo, experiment, and snippet includes its own README with specific setup instructions. Generally, you'll need:
-
Prerequisites
- AWS Account with appropriate service access
- Python 3.9+ or Node.js 16+ (depending on the sample)
- AWS CLI configured with credentials
-
Clone the repository
git clone https://github.com/aws-samples/sample-ai-possibilities.git cd sample-ai-possibilities -
Navigate to a specific sample
# For a demo cd demos/recipe-genie-chatbot # Follow the README.md instructions in that directory
This repository is actively maintained and frequently updated with new samples showcasing the latest AI capabilities. Check back regularly or watch the repository for updates on:
- New AI service integrations
- Emerging AI patterns and architectures
- Updated samples using the latest model versions
- Community-contributed examples
We welcome contributions! Whether it's a new demo, an experimental feature, or a useful code snippet, please see our CONTRIBUTING guide for details on how to submit your AI possibilities samples.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.