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Scalable intelligent document processing using Amazon Bedrock

Machine Learning Blog



This article discusses a scalable and efficient solution for intelligent document processing (IDP) using Amazon Bedrock and the Anthropic Claude 3 Haiku model. It addresses key challenges like simple prompt-based extraction, handling larger file sizes and multipage documents, maintaining data accuracy with confidence scores and human review.

Specifically, the article covers:

  • Overview of the solution architecture
  • Prerequisites and steps to create an AWS Cloud9 IDE environment
  • Steps to clone the source code and deploy the solution using AWS CDK
  • Creating a private work team and human review workflow using Amazon Augmented AI (A2I)
  • Updating the solution with the human review workflow ARN
  • Testing the solution with and without business rules validation
  • Conclusion highlighting the benefits of the solution


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