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.
Customer service teams managing thousands of utility bills face difficulties in parsing and analyzing complex, multi-page documents due to inconsistent formats, dense tables, and varied layouts. This results in delayed responses, billing errors, and frustrated customers. Amazon Bedrock, when combined with Amazon Textract, offers retrieval and generation capabilities to resolve these issues.
By integrating high-accuracy extraction from Amazon Textract with generative AI capabilities of Amazon Bedrock, organizations can transition from manual document searching to programmatically querying them, unlocking actionable insights from utility bills at scale and delivering faster, more accurate customer interactions.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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