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Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation

Machine Learning Blog



This article introduces blueprint instruction optimization, a new Amazon Bedrock Data Automation feature that automatically refines document extraction instructions to improve accuracy.

  • Automatically refines extraction instructions using 3-10 example documents with ground truth values
  • Improves accuracy in minutes instead of weeks without requiring model fine-tuning
  • Addresses challenges like varying document formats, vendor differences, and poor scan quality
  • Provides metrics including exact match rate, F1 score, and confidence scores for evaluation
  • Available via Amazon Bedrock console or API with sample CloudFormation template provided
  • Integrates with Knowledge Bases, Agents, and Guardrails for enhanced downstream workflows
  • Incurs standard BDA inference costs based on example document page count

Blueprint instruction optimization enables organizations to quickly achieve high extraction accuracy for document processing pipelines by automating the iterative refinement process.



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