A data source allows you to combine data from different places into one central index for your Amazon Q Business application. Amazon Q Business provides several easy ways to connect your data.
Before adding any data, you need to set up a retriever and an index for your application. Once that's done, you can add data in three ways:
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Upload documents directly – Upload documents directly using the console or using the BatchPutDocument API operation.
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Connecting a Amazon Q Business data source – Use the AWS Management Console or the the CreateDataSource API operation to connect a supported data source connector to your Amazon Q Business application.
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You must create an Amazon Q Business index to store your data before you connect a data source to your application.
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Connecting Amazon Kendra data sources – Use existing Amazon Kendra data sources by connecting a Amazon Kendra index as a retriever.
If you're connecting a Amazon Kendra GenAI Enterprise Edition index from an Amazon Q Business application, you can detach it and use it with other AWS Gen AI services, like Amazon Bedrock. Detaching an Amazon Kendra index automatically deletes the retriever Amazon Q Business created for it. For a list of features supported by Amazon Kendra GenAI Enterprise indices, see Amazon Kendra GenAI Enterprise Edition index.
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Amazon Q Business uses user email ID to determine end user access to documents in an index. When you connect an Amazon Kendra index to Amazon Q Business, Amazon Q Business relays the user’s identifying email ID to Amazon Kendra to enable document filtering for end users. If data sources connected to your Amazon Kendra index don’t use email-ID based document filtering, or the email ID is not present, Amazon Q Business generates responses only from public documents.
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