AWS pairs Textract with Bedrock knowledge bases for documents RAG keeps failing on
AWS Machine Learning Blog·low signal
A new AWS walkthrough combines Amazon Textract's high-accuracy extraction with Bedrock knowledge bases to handle large, complex PDFs and images, using utility bills queried at scale as the worked example. The pattern targets the failure most RAG builds hit in production, which is that the retrieval is fine and the extraction was wrong. Preprocessing before ingestion, not a better embedding model, is the fix it argues for.
AWS Machine Learning Bloglow signal