Is generative-ai-application-builder-on-aws free to use? What license does it have?

generative-ai-application-builder-on-aws is open source under the Apache-2.0 license. Check the license terms before using it in commercial products.

Is generative-ai-application-builder-on-aws still maintained?

Actively maintained. The last commit to generative-ai-application-builder-on-aws was on Oct 6, 2026.

What can I use generative-ai-application-builder-on-aws for?

Piloting an internal chatbot that answers questions over company documents on AWS Comparing several foundation models on the same use case before choosing one for production Giving non-engineering teams a managed interface to launch and configure AI assistants Building a custom front end or integration on top of the provided chat API

How do I install generative-ai-application-builder-on-aws?

Install prerequisites (Docker, Node.js 20.x, CDK v2.118.0, Python 3.13.x, AWS CLI, jq) Configure AWS CLI credentials, then bootstrap CDK in your account and region if not already done: cdk bootstrap Deploy the solution with CDK: cdk deploy

Where can I get generative-ai-application-builder-on-aws?

The source code and installation instructions are on GitHub: https://github.com/aws-solutions/generative-ai-application-builder-on-aws

aws-solutions/generative-ai-application-builder-on-aws

An AWS-provided solution that deploys a web dashboard for building, comparing and productionizing generative AI chat and agent use cases on Amazon Bedrock and SageMaker AI.

View on GitHub Website

Stars: 358
Forks: 139
Open issues: 13
Last commit: 16 days ago

What is it?

Generative AI Application Builder on AWS is a deployable solution that gives admins a web-based dashboard to create, configure and compare generative AI use cases. Each use case is deployed as its own CloudFormation stack, and the dashboard lets teams try different LLM and configuration combinations side by side before taking one into production.

The current release covers chat use cases, including a chatbot-style UI that can query enterprise data through a knowledge base. Supported knowledge sources include Amazon Kendra and Knowledge Bases for Amazon Bedrock, and LLMs can be hosted on Amazon Bedrock or Amazon SageMaker AI. Agent use cases send requests to a configured Amazon Bedrock Agent. An API is available for custom end-user implementations.

The project is written in TypeScript with AWS CDK and includes React-based dashboard and chat UIs built with Vite. Deployment uses `cdk deploy` or a custom build that stages assets to S3.

Key features

01Web dashboard for deploying and comparing multiple LLM use cases
02Chat UI backed by knowledge bases via Amazon Kendra or Amazon Bedrock Knowledge Bases
03Integration with Amazon Bedrock and Amazon SageMaker AI as LLM providers
04Amazon Bedrock Agent use case support
05CloudWatch dashboards for multi-LLM metric tracking
06Modular nested CloudFormation stacks with optional VPC deployment

Use cases

Piloting an internal chatbot that answers questions over company documents on AWS
Comparing several foundation models on the same use case before choosing one for production
Giving non-engineering teams a managed interface to launch and configure AI assistants
Building a custom front end or integration on top of the provided chat API

Quick start

1
Install prerequisites (Docker, Node.js 20.x, CDK v2.118.0, Python 3.13.x, AWS CLI, jq)
2
Configure AWS CLI credentials, then bootstrap CDK in your account and region if not already done
cdk bootstrap
3
Deploy the solution with CDK
cdk deploy

Things to know

Requires an AWS account and incurs AWS service costs once deployed.
Deployed use cases depend on AWS service availability and Amazon Bedrock model access must be requested first.
Setup requires several prerequisites and familiarity with AWS CDK and CloudFormation.

In collections

AI chatbots & chat clients

Topics

#generative-ai #aws #bedrock #chatbot #rag #llm #cloudformation #cdk #llms #retrieval-augmented-generation

FAQ

What is generative-ai-application-builder-on-aws?: An AWS-provided solution that deploys a web dashboard for building, comparing and productionizing generative AI chat and agent use cases on Amazon Bedrock and SageMaker AI. Generative AI Application Builder on AWS is a deployable solution that gives admins a web-based dashboard to create, configure and compare generative AI use cases. Each use case is deployed as its own CloudFormation stack, and the dashboard lets teams try different LLM and configuration combinations side by side before taking one into production.
Is generative-ai-application-builder-on-aws free to use? What license does it have?: generative-ai-application-builder-on-aws is open source under the Apache-2.0 license. Check the license terms before using it in commercial products.
Is generative-ai-application-builder-on-aws still maintained?: Actively maintained. The last commit to generative-ai-application-builder-on-aws was on Oct 6, 2026.
What can I use generative-ai-application-builder-on-aws for?: Piloting an internal chatbot that answers questions over company documents on AWS Comparing several foundation models on the same use case before choosing one for production Giving non-engineering teams a managed interface to launch and configure AI assistants Building a custom front end or integration on top of the provided chat API
How do I install generative-ai-application-builder-on-aws?: Install prerequisites (Docker, Node.js 20.x, CDK v2.118.0, Python 3.13.x, AWS CLI, jq) Configure AWS CLI credentials, then bootstrap CDK in your account and region if not already done: cdk bootstrap Deploy the solution with CDK: cdk deploy
Where can I get generative-ai-application-builder-on-aws?: The source code and installation instructions are on GitHub: https://github.com/aws-solutions/generative-ai-application-builder-on-aws

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