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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