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In a terminal with the AWS Command Line Interface (AWS CLI) or AWS CloudShell , run the following commands to upload the documents to the data source bucket: aws s3 cp s3://aws-ml-blog/artifacts/building-a-secure-search-application-with-access-controls-kendra/docs.zip. In the IAM role section, select Create new service role (Recommended).
In the terminal with the AWS Command Line Interface (AWS CLI) or AWS CloudShell , run the following commands to upload the documents and metadata to the data source bucket: aws s3 cp s3://aws-ml-blog/artifacts/building-a-secure-search-application-with-access-controls-kendra/docs.zip. Expand Additional configuration.
When end-users ask natural language questions, Amazon Kendra uses machine learning (ML) algorithms to understand the context and return the most relevant answers. The Amazon Kendra’s S3 connector supports indexing documents and their associated metadata stored in an S3 bucket. For Description , enter AWS WhitePaper documentation.
You add access control information to a document in an Amazon S3 data source using a metadata file associated with the document. Leveraging his AI/ML domain expertise, Al develops and executes global go-to-market strategies that drive transformative results for AWS customers at scale. About the Authors Steven Craig is a Sr.
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