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	<title>Brian Zambrano &#8211; Noise</title>
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		<title>Orchestrating large-scale document processing with AWS Step Functions and Amazon Bedrock batch inference</title>
		<link>https://noise.getoto.net/2025/11/26/orchestrating-large-scale-document-processing-with-aws-step-functions-and-amazon-bedrock-batch-inference/</link>
		
		<dc:creator><![CDATA[Brian Zambrano]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 21:41:51 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon Textract]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
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					<description><![CDATA[Organizations often have large volumes of documents containing valuable information that remains locked away and unsearchable. This solution addresses the need for a 
<strong>scalable, automated text extraction and knowledge base pipeline</strong> that transforms static document collections into intelligent, searchable repositories for generative AI applications.]]></description>
		
		
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