Improve Bedrock Knowledge Bases for Complex Documents
π‘Learn a practical Textract and Bedrock pattern for reliable RAG over scanned bills and complex files.
β‘ 30-Second TL;DR
What Changed
Uses Amazon Textract to extract text from complex PDFs and images
Why It Matters
Better document extraction can improve retrieval quality when source files contain layouts, scans, or mixed visual content. Organizations handling forms and bills can use this pattern to reduce manual processing and improve answer accuracy.
What To Do Next
Build a small Bedrock Knowledge Bases test set from utility bills and compare retrieval accuracy with and without Textract preprocessing.
Key Points
- β’Uses Amazon Textract to extract text from complex PDFs and images
- β’Customizes ingestion and preprocessing for large documents
- β’Demonstrates scalable utility-bill queries for customer service scenarios
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Original source: AWS Machine Learning Blog β
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