Why AWS Generative AI Solution Box?
Build Generative AI Applications Easily, Even Without Development Experience
Fast: Build various generative AI solutions with a single click
Easy-to-use: Carefully selected solutions that even beginners can immediately benefit from
Secure: Production-ready security allows for immediate use in production environments
Open-Source: All solutions are open-source and customizable
Guide: Provides usage guides and resources for adoption
3-Step Building Process
1
Login AWS
Create an AWS Account and
login with a user for deployment
login with a user for deployment
2
Choose & Click
Select the solution you want
Click to start building
Click to start building
3
Start Journey
Begin using once the completion notification arrives
1. Prepare AWS Account
Create an AWS account and sign in by referring to "Point 2: How to start using AWS?" in the 6 Points for AWS Beginners.
2. Choose & Click
Select an AWS solution and click Quick Launch. For more details, please refer to View Details.
Generative AI Use Cases
Generative AI Use Cases is an application with various pre-integrated generative AI use cases. It's ideal for organizations looking to establish a safe and user-friendly environment to promote the adoption of generative AI.
Dify
Dify allows you to create chatbots and workflows using generative AI through a GUI. It's perfect for implementing multi-step generative AI processes. For AWS deployment, you can easily set it up using dify-self-hosted-on-aws.
Bedrock Chat
Bedrock Chat is a multilingual generative AI platform powered by Amazon Bedrock. It supports not only simple chat functionality but also custom bot creation with knowledge bases (RAG), bot sharing through a bot store, and task automation using agents.
GenAI Design Studio
GenAI Design Studio is a virtual try-on solution powered by Amazon Nova Canvas. It aims to streamline various processes in the apparel industry and e-commerce services, from fashion design to actual model photography.
ComfyUI
ComfyUI is a node-based generative AI image generation tool that combines stable diffusion and various models to generate high-quality images. It's ideal for visually building complex workflows and having fine-grained control over the image generation process. For AWS deployment, you can build a scalable and cost-effective environment using cost-effective-aws-deployment-of-comfyui.
Review & Assessment Powered by Intelligent Documentation (RAPID)
RAPID is a document review solution powered by generative AI (Amazon Bedrock). It streamlines review processes involving extensive documents and complex checklists using a Human in the Loop approach.
Bedrock Engineer
Bedrock Engineer is an autonomous software development agent application powered by Amazon Bedrock. It offers various customizable features including file creation/editing, command execution, web search, knowledge base utilization, multi-agent collaboration, and image generation. As it operates as a client application, CloudFormation deployment is not required - you can download and use it directly.
Remote SWE Agents
Remote SWE Agents is an implementation example of AI-powered autonomous software development agents. This agent operates within a dedicated development environment per task and performs development work without constraining the user's PC.
3. Start Journey
For Generative AI Use Cases, you can learn how to use it by following this workshop: