<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge Graphs on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/knowledge-graphs/</link><description>Recent content in Knowledge Graphs on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/knowledge-graphs/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-Native Databases: Storing and Querying for Intelligent Applications</title><link>https://ai-blog.noorshomelab.dev/ai-engineering-2026/ai-native-databases-storing-querying/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-engineering-2026/ai-native-databases-storing-querying/</guid><description>&lt;h2 id="introduction-to-ai-native-databases"&gt;Introduction to AI-Native Databases&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI architects! In our journey through the evolving landscape of AI engineering, we&amp;rsquo;ve explored how AI workflow languages streamline complex tasks, how agent operating systems provide a foundation for intelligent agents, and how orchestration engines coordinate their intricate dance. Now, imagine if these intelligent systems didn&amp;rsquo;t just process information, but could &lt;em&gt;remember&lt;/em&gt;, &lt;em&gt;understand context&lt;/em&gt;, and &lt;em&gt;reason&lt;/em&gt; over vast amounts of data in a way that traditional databases simply can&amp;rsquo;t.&lt;/p&gt;</description></item></channel></rss>