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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation.

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Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

With metadata filtering now available in Knowledge Bases for Amazon Bedrock, you can define and use metadata fields to filter the source data used for retrieving relevant context during RAG. Metadata filtering gives you more control over the RAG process for better results tailored to your specific use case needs.

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Yehuda Holtzman, CEO of Cipia – Interview Series

Unite.AI

Yehuda was also a co-founder of the software company ExploreGate, where he served as CEO from 2012 to 2016, as well as co-founder of MobileAccess, where he served as President of the company through its acquisition by Corning Incorporated In 2011. Our solutions analyze the video stream in real-time, translating it to metadata.

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Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning Blog

Ref S3BucketName, '/*']] - PolicyName: SNSPublish PolicyDocument: Version: '2012-10-17' Statement: - Effect: Allow Action: - 'sns:Publish' Resource: !Ref Second, we want to add metadata to the CloudFormation template. Join ['', ['arn:aws:s3:::', !Ref GetAtt ProcessingLambda.Arn Action: 'lambda:InvokeFunction' Principal: s3.amazonaws.com

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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning Blog

After modeling, detected services of each architecture diagram image and its metadata, like URL origin and image title, are indexed for future search purposes and stored in Amazon DynamoDB , a fully managed, serverless, key-value NoSQL database designed to run high-performance applications. join(", "), }; }).catch((error) join(", "), }; }).catch((error)

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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

AWS Machine Learning Blog

On the Select trusted entity page, select Custom trust policy. On the Add required permissions page, choose Create policy. In the Permissions policy section, on the Add permissions menu, choose Create inline policy. client('sts') # Call the assume_role method of the STSConnection object and pass the role # ARN and a role session name.

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Deploy a Slack gateway for Amazon Q, your business expert

AWS Machine Learning Blog

For ContextDaysToLive , enter the length of time to keep conversation metadata cached in Amazon DynamoDB (you can leave this as the default). Gary started at Amazon in 2012 as an intern, focusing on building scalable, real-time outlier detection systems. For more information on Amazon Q, refer to What is Amazon Q (For Business Use)?