Generative AI Application Builder on AWS

Rapidly develop and deploy production-ready generative AI applications

Overview

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, and LLMs deployed on Amazon SageMaker. Additionally, this solution 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.

Use cases for this AWS Solution
  • Headline
More…

Benefits

Rapid experimentation

This solution allows users to experiment quickly by removing the heavy lifting required to deploy multiple instances with different configurations and compare outputs and performance. Experiment with multiple configurations of various LLMs, prompt engineering, enterprise knowledge bases, and other parameters.

Configurability

With pre-built connectors to a variety of LLMs, such as models available through Amazon Bedrock, this solution gives you the flexibility to deploy the model of your choice, as well as the AWS and leading FM services you prefer.

Production-ready

Built with AWS Well-Architected design principles, this solution offers enterprise-grade security and scalability with high availability and low latency, ensuring seamless integration into your applications with high performance standards.

Extensible modular architecture

Extend this solution’s functionality by integrating your existing projects or natively connecting additional AWS services. Because this is an open-source application, you can use the included LangChain orchestration layer or Lambda functions to connect with the services of your choice.

Technical details

You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template that deploys two separate architectures:

  1. Deployment Dashboard – The Deployment Dashboard is a web user interface (UI) that serves as a management console for admin users to view, manage, and create their use cases. This dashboard enables customers to rapidly experiment, iterate, and deploy generative AI applications using multiple configurations of LLMs and data.
  2. Text Use Case – The Text Use Case enables users to experience a natural language interface using generative AI. This use case can be integrated into new or existing applications, and is deployable through the Deployment Dashboard or independently through a provided URL.
  • Deployment Dashboard
  • Text Use Case
Deployment options
Ready to get started?
Deploy this solution by launching it in your AWS Console
AWS Service
Amazon Bedrock

The easiest way to build and scale generative AI applications with foundation models.

Learn more 
Guidance
Guidance for Generative AI Deployments using Amazon SageMaker JumpStart

This Guidance demonstrates how to deploy a generative artificial intelligence (AI) model provided by Amazon SageMaker JumpStart to create an asynchronous SageMaker endpoint with the ease of the AWS Cloud Development Kit (AWS CDK).

Learn more 
Guidance
Guidance for Natural Language Queries of Relational Databases on AWS

This Guidance demonstrates how to build an application enabling users to ask questions directly of relational databases using natural language queries (NLQ).

Learn more 
AWS Service
Generative AI for every business

Boost productivity, build differentiated experiences, and innovate faster with AWS.

Learn more 
Case Study
Launching a High-Accuracy Chatbot Using Generative AI Solutions on AWS with Megamedia

This case study demonstrates how broadcast company Megamedia created a generative AI–powered chatbot to simplify access to important public information using AWS.

Read the case study 
Video
Solving with AWS Solutions: Generative AI Application Builder on AWS
Watch the video 

Was this page helpful?