Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract
Learn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. This post shows how to ingest and preprocess PDFs and images, then query utility bills at scale for faster, more accurate customer interactions.
What happened
Learn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. This post shows how to ingest and preprocess PDFs and images, then query utility bills at scale for faster, more accurate customer interactions.
Why it matters
The proceeding may create legal precedent, financial exposure or operating constraints for Amazon.
Affected entities
View evidence
2 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract ↗
- AWS Machine Learning BlogPrimary source · Supports · EN · 50%Run agent-driven Amazon SageMaker HyperPod operations with InstantStart ↗
Claims
- Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract Observed
Conflicts
No material conflict detected in the available evidence.
Timeline
- First reported
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