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	<title>Jack Mazanec &#8211; Noise</title>
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		<title>Choose the k-NN algorithm for your billion-scale use case with OpenSearch</title>
		<link>https://noise.getoto.net/2022/09/13/choose-the-k-nn-algorithm-for-your-billion-scale-use-case-with-opensearch/</link>
		
		<dc:creator><![CDATA[Jack Mazanec]]></dc:creator>
		<pubDate>Tue, 13 Sep 2022 16:13:46 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Best practices]]></category>
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					<description><![CDATA[When organizations set out to build machine learning (ML) applications such as natural language processing (NLP) systems, recommendation engines, or search-based systems, often times k-Nearest Neighbor (k-NN) search will be used at some point in the workflow. As the number of data points reaches the hundreds of millions or even billions, scaling a k-NN search […]]]></description>
		
		
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