Vuong Bach Doan
Purpose
Create an AI assistant that tailor your specific business, codebase, data, and operations by further training it on an organization’s own information.
Here’s an example of how you can use Amazon Q with personalized data provided by you:
As demonstrated, I can inquire about my personal details. This information was supplied by me during the setup phase for Q. Now, let’s delve into how you can create your own assistant.
Hand-on steps
1. Setting up SSO
Follow up the instructions to setting SSO from AWS document at this link:
In the IAM Identity Center metadata section, choose Download to download the IAM Identity Center SAML metadata file. You will need in later section.
Don’t skip step setting mapping attribute Email to ${user:email}
2. Create Q application
Choose a name for your application ➡ For easier, choose Create and use a new service role ➡Next.
Leave default, click Next.
Choose a data source to contain data that will be used to provide information. Select S3
- In Name - Data source name enter unique name for your datasource.
- In IAM role, choose Create a new service role.
- In Sync scope, choose S3 bucket that you will contain updated information for application.
- In Sync run schedule-Frequency, choose any timestamp you want to sync data.
- Leave other fields as default.
Click Finish to complete creation.
3. Deploy Q application
Find Web experience settings in application details page.
- In Choose a method to authorize Amazon Q, choose Create and use a new service role.
- Upload XML file you have downloaded when setting SSO.
🎉 All done, find public URL in detail page and share to others.
