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    <title>Kn0x on BeardBench</title>
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      <title>Rags to Riches - A Local RAG Prototype</title>
      <link>https://beardbench.isogen.io/posts/rags-to-riches/</link>
      <pubDate>Sat, 25 Apr 2026 19:16:02 +1000</pubDate>
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      <description>&lt;h1 id=&#34;building-private-ai-rag-systems-with-local-llms-and-vector-databases&#34;&gt;&#xA;  Building Private Ai RAG Systems with Local LLMs and Vector Databases&#xA;  &lt;a class=&#34;heading-link&#34; href=&#34;#building-private-ai-rag-systems-with-local-llms-and-vector-databases&#34;&gt;&#xA;    &lt;i class=&#34;fa-solid fa-link&#34; aria-hidden=&#34;true&#34; title=&#34;Link to heading&#34;&gt;&lt;/i&gt;&#xA;    &lt;span class=&#34;sr-only&#34;&gt;Link to heading&lt;/span&gt;&#xA;  &lt;/a&gt;&#xA;&lt;/h1&gt;&#xA;&lt;figure class=&#34;center&#34;&gt;&lt;img src=&#34;https://beardbench.isogen.io/rag_man.png&#34;&#xA;    alt=&#34;RagMan&#34;&gt;&#xA;&lt;/figure&gt;&#xA;&#xA;&lt;p&gt;Have you ever wanted to chat with your own documents without sending sensitive data to the cloud? That&amp;rsquo;s exactly why I put together &lt;strong&gt;Rags to Riches&lt;/strong&gt;, a fully localised, containerised Retrieval-Augmented Generation (RAG) prototype.&lt;/p&gt;&#xA;&lt;p&gt;This solution allows you to chat with your own documents (&lt;code&gt;.md&lt;/code&gt;, &lt;code&gt;.txt&lt;/code&gt;, &lt;code&gt;.pdf&lt;/code&gt;, &lt;code&gt;.docx&lt;/code&gt;) completely offline using local LLMs, vector databases, and a beautiful chat interface.&lt;/p&gt;</description>
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