This solution facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications
Publication date: October 2023 (last update: June 2024)
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. This AWS Solution accelerates development and streamlines experimentation by helping you ingest your business-specific data and documents, evaluate and compare the performance of large language models (LLMs), rapidly build extensible applications, and deploy those applications with an enterprise-grade architecture.
Generative AI Application Builder on AWS includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and LLMs deployed on Amazon SageMaker. Additionally, this solution has pre-built connectors to external model providers such as Anthropic and Hugging Face and enables connections to your choice of model using LangChain or AWS Lambda. Start with the no-code deployment wizard to build generative AI applications for conversational search, AI-generated chatbots, text generation, and text summarization.
This implementation guide provides an overview of the Generative AI Application Builder on AWS solution, its reference architecture and components, considerations for planning the deployment, and configuration steps for deploying the solution to the Amazon Web Services (AWS) Cloud.
This guide is intended for solution architects, business decision makers, DevOps engineers, data scientists, and cloud professionals who want to implement Generative AI Application Builder on AWS in their environment.
Use this navigation table to quickly find answers to these questions:
| If you want to . . . | Read . . . |
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Know the cost for running this solution. The estimated cost for running this solution for a simple proof of concept in the US East (N. Virginia) Region is USD $35.64 per month. |
Cost |
| Understand the security considerations for this solution. | Security |
| Know how to plan for quotas for this solution. | Quotas |
| Know which AWS Regions support this solution. | Supported AWS Regions |
| View or download the AWS CloudFormation template included in this solution to automatically deploy the infrastructure resources (the “stack”) for this solution. | AWS CloudFormation template |
| Access the source code and optionally use the AWS Cloud Development Kit (AWS CDK) to deploy the solution. |
GitHub repository |
