<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Similarity on The Coders Blog</title><link>https://thecodersblog.com/tag/similarity/</link><description>Recent content in Similarity on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 11:01:14 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/similarity/index.xml" rel="self" type="application/rss+xml"/><item><title>[Milvus]: Scalable Vector Search for AI</title><link>https://thecodersblog.com/milvus-an-open-source-vector-database-2026/</link><pubDate>Sat, 09 May 2026 11:01:14 +0000</pubDate><guid>https://thecodersblog.com/milvus-an-open-source-vector-database-2026/</guid><description>&lt;p&gt;The AI revolution isn&amp;rsquo;t just about training smarter models; it&amp;rsquo;s fundamentally about &lt;em&gt;accessing&lt;/em&gt; and &lt;em&gt;utilizing&lt;/em&gt; the knowledge these models can process. At the heart of this are vector embeddings – dense numerical representations of data that capture semantic meaning. But as the volume of these embeddings explodes, traditional databases buckle under the weight of similarity searches. This is where Milvus, a cloud-native open-source vector database, emerges not just as a tool, but as a critical piece of infrastructure for next-generation AI. Forget keyword matching; we&amp;rsquo;re talking about finding the &lt;em&gt;conceptually similar&lt;/em&gt;.&lt;/p&gt;</description></item></channel></rss>