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Amazon Q is a fully managed, generative artificialintelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. In this example, metadata files including the ACLs are in a folder named Meta.
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. For Metadata files prefix folder location , enter Meta/.
The Amazon Kendra’s S3 connector supports indexing documents and their associated metadata stored in an S3 bucket. For Description , enter AWS WhitePaper documentation. Leave Metadata files prefix folder location blank. By default, metadata files are stored in the same directory as the documents. Choose Next.
Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificialintelligence (AI) at the center of possible solutions. IBM ® created an AI assistant named OLGA that offered case categorization, extracted metadata and could help bring cases to faster resolution.
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