accelerated-intelligent-document-processing-on-aws
This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
Discover 10 AWS cost optimization strategies for high-volume document processing. Reduce costs by up to 40% with proven methods like granular tagging and ARM64 Lambda.
How to Add and Configure Custom Classification Models for Domain-Specific Document Types in AWS IDPLearn how to add custom classification models for specific documents in AWS IDP. Train models in SageMaker or Bedrock and configure them easily.
S3 to Step Functions Event Flow in AWS Intelligent Document Processing: Complete EventBridge Pipeline GuideUnderstand the S3 to Step Functions event flow in AWS. This guide details the EventBridge pipeline, from S3 object creation via Lambda and SQS to Step Functions execution.
How the Configuration Versioning System Enables Version-Specific Document Processing in AWS IDPLearn how the AWS IDP configuration versioning system processes documents using specific versions without redeployment. Discover how configuration snapshots and metadata enable precise document analysis.
Deploying to AWS GovCloud Regions: A Complete Guide for the GenAI IDP AcceleratorDeploy GenAI IDP Accelerator to AWS GovCloud. Learn specific considerations, partition-aware ARNs, and compatible service endpoints for a secure deployment.
How to Set Up and Configure the Document Knowledge Base for Querying Processed ContentLearn how to set up and configure the document knowledge base for querying processed content on AWS. Deploy the Bedrock Knowledge Base stack to index your documents.
Nested CloudFormation Stack Architecture in AWS IDP: How the Patterns InterconnectUnderstand the nested CloudFormation stack architecture in AWS IDP. Learn how isolated processing patterns share core infrastructure through cross-stack parameter passing.
How the Human-in-the-Loop Review Workflow Integrates with Amazon Augmented AI (A2I)Learn how the human-in-the-loop review workflow integrates with Amazon Augmented AI (A2I) for low-confidence extractions. Improve document processing accuracy with automated human reviews.
Architectural Design of the AppSync GraphQL API for Web UI Data CommunicationExplore the AppSync GraphQL API architecture for web UI data communication. Learn how it uses Cognito, DynamoDB, Lambda, and real-time subscriptions for efficient backend interaction.
How to Implement Few-Shot Examples to Improve Extraction Accuracy for Specific Document TypesImprove document extraction accuracy using few-shot examples in AWS. Learn to define examples in config.yaml to enhance LLM prompt effectiveness for precise data capture.
Lambda Functions for Queue Processing and Concurrency Management in AWS Accelerated IDPDiscover how Lambda functions queue_sender and queue_processor manage queue processing and concurrency in AWS Accelerated IDP. Learn about DynamoDB-backed counter for limits.
How the DynamoDB Configuration System Merges Default Configurations with Custom Settings in AWS IDPDiscover how the DynamoDB configuration system merges default and custom settings in AWS IDP. Learn about the ConfigurationManager and deep-update utility for seamless integration.
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