Skip to main content

AWS Solutions Library

Guidance for Application and Data Connectors for Amazon Q Business

Go to sample code

Overview

This Guidance demonstrates how businesses can rapidly deploy Amazon Q Business, integrating large language model (LLM) capabilities seamlessly with third-party data sources such as Microsoft Teams, Confluence, ServiceNow, and Jira. It demonstrates how businesses can accelerate their adoption of AI capabilities through an automated deployment process that prioritizes security and operational efficiency. The Guidance helps businesses of all sizes, particularly small- and medium-sized businesses, to quickly implement enterprise-grade LLM capabilities within their existing workflows. This approach enhances productivity and decision-making while minimizing operational costs and security risks.

Benefits

    Deploy a complete Amazon Q Business environment in minutes using infrastructure as code. Reduce manual configuration while ensuring consistent, repeatable deployments across your organization.

    Centralize access management through AWS IAM Identity Center integration and secure credential handling with AWS Secrets Manager. Maintain data security while enabling seamless user authentication.

    Connect multiple enterprise data sources through a single deployment process. Easily update and expand your knowledge base while preserving existing configurations and user access permissions.

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.

Download the architecture diagram

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. 

Go to sample code

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.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.

Did you find what you were looking for today?

Let us know so we can improve the quality of the content on our pages