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	<title>Dylan Tong &#8211; Noise</title>
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		<title>Auto-optimize your Amazon OpenSearch Service vector database</title>
		<link>https://noise.getoto.net/2025/12/09/auto-optimize-your-amazon-opensearch-service-vector-database/</link>
		
		<dc:creator><![CDATA[Dylan Tong]]></dc:creator>
		<pubDate>Mon, 08 Dec 2025 23:58:24 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[AWS recently announced the general availability of auto-optimize for the Amazon OpenSearch Service vector engine. This feature streamlines vector index optimization by automatically evaluating configuration trade-offs across search quality, speed, and cost savings. You can then run a vector ingestion pipeline to build an optimized index on your desired collection or domain. Previously, optimizing index […]]]></description>
		
		
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		<title>Build billion-scale vector databases in under an hour with GPU acceleration on Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2025/12/09/build-billion-scale-vector-databases-in-under-an-hour-with-gpu-acceleration-on-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Dylan Tong]]></dc:creator>
		<pubDate>Mon, 08 Dec 2025 23:57:19 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[announcements]]></category>
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					<description><![CDATA[AWS recently announced the general availability of GPU-accelerated vector (k-NN) indexing on Amazon OpenSearch Service. You can now build billion-scale vector databases in under an hour and index vectors up to 10 times faster at a quarter of the cost. This feature dynamically attaches serverless GPUs to boost domains and collections running CPU-based instances. With […]]]></description>
		
		
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		<title>Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation</title>
		<link>https://noise.getoto.net/2025/05/02/amazon-opensearch-service-launches-flow-builder-to-empower-rapid-ai-search-innovation/</link>
		
		<dc:creator><![CDATA[Dylan Tong]]></dc:creator>
		<pubDate>Fri, 02 May 2025 19:05:51 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
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					<description><![CDATA[The AI search flow builder is available in all AWS Regions that support OpenSearch 2.19+ on OpenSearch Service. In this post, we walk through a couple of scenarios to demonstrate the flow builder. First, we’ll enable semantic search on your old keyword-based OpenSearch application without client-side code changes. Next, we’ll create a multi-modal RAG flow, to showcase how you can redefine image discovery within your applications.]]></description>
		
		
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		<title>OpenSearch Vector Engine is now disk-optimized for low cost, accurate vector search</title>
		<link>https://noise.getoto.net/2025/01/24/opensearch-vector-engine-is-now-disk-optimized-for-low-cost-accurate-vector-search/</link>
		
		<dc:creator><![CDATA[Dylan Tong]]></dc:creator>
		<pubDate>Fri, 24 Jan 2025 20:21:14 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Analytics]]></category>
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					<description><![CDATA[OpenSearch Vector Engine can now run vector search at a third of the cost on OpenSearch 2.17+ domains. You can now configure k-NN (vector) indexes to run on disk mode, optimizing it for memory-constrained environments, and enable low-cost, accurate vector search that responds in low hundreds of milliseconds. Disk mode provides an economical alternative to memory mode when you don’t need near single-digit latency. In this post, you’ll learn about the benefits of this new feature, the underlying mechanics, customer success stories, and getting started.]]></description>
		
		
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