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AWS Solutions Library

Guidance for Rapidly Deploying Generative AI for Business Use Cases on AWS

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Overview

This Guidance demonstrates how to build and deploy comprehensive generative AI applications on AWS using a complete enterprise architecture. It shows organizations how to integrate security, content delivery, and authentication services with powerful artificial intelligence and serverless computing capabilities. The solution helps teams implement secure, high-performance AI applications by combining robust frontend security controls with flexible backend processing and storage solutions. By incorporating optional components for intelligent search and knowledge retrieval, alongside comprehensive monitoring and scaling capabilities, this guidance enables organizations to create sophisticated AI solutions that meet enterprise requirements for security, performance, and reliability.

Benefits

    Deploy production-ready generative AI applications in days instead of months. Leverage pre-configured components with AWS managed services to reduce development cycles while maintaining enterprise-grade security and scalability.

    Transform how employees access organizational knowledge with intelligent search and retrieval. Combine Amazon Bedrock and Kendra to create context-aware responses that improve decision-making and reduce time spent searching for information.

    Build customer-facing AI applications that automatically adjust to demand without performance degradation. Implement comprehensive security controls at every layer while focusing on creating differentiated user experiences rather than infrastructure management.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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