<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vector Memory on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/vector-memory/</link><description>Recent content in Vector Memory 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/vector-memory/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Simple RAG Agent with Memory</title><link>https://ai-blog.noorshomelab.dev/ai-agent-memory-2026/build-simple-rag-agent/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-agent-memory-2026/build-simple-rag-agent/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring AI architect! In our previous chapters, we&amp;rsquo;ve explored the fascinating world of AI memory systems, understanding different types like working, short-term, long-term, episodic, and semantic memory, and how vector memory plays a crucial role in enabling AI agents to access vast external knowledge. Now, it&amp;rsquo;s time to bring these concepts to life by building something truly practical: a simple Retrieval Augmented Generation (RAG) agent with integrated memory.&lt;/p&gt;</description></item><item><title>AI Agent Memory Systems Explained</title><link>https://ai-blog.noorshomelab.dev/ai-agent-memory-2026/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-agent-memory-2026/</guid><description>&lt;p&gt;This guide delves into the intricate world of AI agent memory systems, from fundamental concepts like vector and semantic memory to more complex episodic and long-term storage. You&amp;rsquo;ll learn how these diverse memory types are stored, retrieved, and effectively utilized within intelligent agent architectures. We also explore the critical trade-offs between an agent&amp;rsquo;s memory capacity and its immediate contextual understanding.&lt;/p&gt;</description></item></channel></rss>