Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon Textract | Amazon Web Services
For customer service teams handling thousands of utility bills each month, accurately parsing and analyzing complex, multi-page documents is a persistent challenge. Inconsistent formats, dense tables, and varied layouts make it difficult to extract the right information quickly. This leads to delayed responses, billing errors, and frustrated customers. As document volumes grow, these inefficiencies compound, leaving organizations unable to act on the data already in their hands.
Amazon Bedrock, integrated with Amazon Textract, provides the retrieval and generation capabilities to solve this. By combining the high-accuracy extraction of structured and unstructured content from Amazon Textract with the generative AI capabilities of Amazon Bedrock, organizations can move from manually searching through documents to programmatically querying them. This unlocks actionable insights from utility bills at scale and delivers faster, more accurate customer interactions.
In this post, we demonstrate how to chat with utility bills in complex PDF and image formats, parse...
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