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	<title>Audra Devoto &#8211; Noise</title>
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		<title>A scalable, elastic database and search solution for 1B+ vectors built on LanceDB and Amazon S3</title>
		<link>https://noise.getoto.net/2025/09/22/a-scalable-elastic-database-and-search-solution-for-1b-vectors-built-on-lancedb-and-amazon-s3/</link>
		
		<dc:creator><![CDATA[Audra Devoto]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 17:15:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[In this post, we explore how Metagenomi built a scalable database and search solution for over 1 billion protein vectors using LanceDB and Amazon S3. The solution enables rapid enzyme discovery by transforming proteins into vector embeddings and implementing a serverless architecture that combines AWS Lambda, AWS Step Functions, and Amazon S3 for efficient nearest neighbor searches.]]></description>
		
		
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