<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Rag on AgentPlix - AI &amp; Automation Hub</title>
    <link>https://agentplix.com/tags/rag/</link>
    <description>Recent content in Rag on AgentPlix - AI &amp; Automation Hub</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 15 May 2026 11:01:46 +0000</lastBuildDate>
    <atom:link href="https://agentplix.com/tags/rag/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Local LLM as Your Personal Knowledge Base: Setups That Work</title>
      <link>https://agentplix.com/posts/anyone-actually-using-a-local-llm-as-their-daily-knowledge/</link>
      <pubDate>Fri, 15 May 2026 11:01:46 +0000</pubDate>
      <guid>https://agentplix.com/posts/anyone-actually-using-a-local-llm-as-their-daily-knowledge/</guid>
      <description>People are actually using local LLMs to manage recipes, health notes, and journals. Here are the real setups working in 2026—private, fast, and free.</description>
    </item>
    <item>
      <title>RAG vs Fine-Tuning: Which AI Approach Wins?</title>
      <link>https://agentplix.com/posts/rag-vs-fine-tuning-which-ai-approach-is-right-for-your/</link>
      <pubDate>Wed, 29 Apr 2026 11:02:02 +0000</pubDate>
      <guid>https://agentplix.com/posts/rag-vs-fine-tuning-which-ai-approach-is-right-for-your/</guid>
      <description>RAG vs fine-tuning for LLMs: we break down costs, use cases, and when each approach actually wins so you build the right thing the first time.</description>
    </item>
  </channel>
</rss>
