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	<title>James Le &#8211; Noise</title>
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		<title>Optimize multimodal search using the TwelveLabs Embed API and Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2025/04/04/optimize-multimodal-search-using-the-twelvelabs-embed-api-and-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[James Le]]></dc:creator>
		<pubDate>Fri, 04 Apr 2025 16:46:55 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Partner solutions]]></category>
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					<description><![CDATA[In this blog post, we show you the process of integrating TwelveLabs Embed API with OpenSearch Service to create a multimodal search solution. You'll learn how to generate rich, contextual embeddings from video content and use OpenSearch Service's vector database capabilities to enable search functionalities. By the end of this post, you'll be equipped with the knowledge to implement a system that can transform the way your organization handles and extracts value from video content.]]></description>
		
		
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