The AWS Machine Learning Blog outlines an approach for customizing an Amazon Bedrock knowledge base to handle large and complex documents. The method pairs Amazon Textract, used for text extraction, with the generative AI capabilities of Amazon Bedrock. The post walks through ingesting and preprocessing PDFs and images, and then querying documents such as utility bills at scale.
Why it matters
Large and complex documents can be difficult to process accurately within retrieval and generation workflows. By combining Textract’s text extraction with Bedrock, the described setup aims to support faster and more accurate customer interactions when working with these documents.
Who should care
Teams building document-based knowledge bases on AWS, particularly those handling PDFs, images, or high-volume records like utility bills, may find the described workflow relevant.