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        <title>LangChain - Tag - Daily Deep Think</title>
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            <webMaster>blog@baifan.site (ByF)</webMaster><lastBuildDate>Wed, 27 Aug 2025 14:00:00 &#43;0800</lastBuildDate><atom:link href="https://blog.baifan.site/en/tags/langchain/" rel="self" type="application/rss+xml" /><item>
    <title>RAG Complete Guide: Build a Local RAG System from Scratch</title>
    <link>https://blog.baifan.site/en/rag-system-complete-guide-langchain-ollama-pgvector/</link>
    <pubDate>Wed, 27 Aug 2025 14:00:00 &#43;0800</pubDate><author>
                    <name>ByF</name>
                </author><guid>https://blog.baifan.site/en/rag-system-complete-guide-langchain-ollama-pgvector/</guid>
    <description><![CDATA[<div class="featured-image">
                <img src="/pictures/note/ai-tutorial-5-rag-system.jpg" referrerpolicy="no-referrer">
            </div><h1 id="building-a-local-rag-with-langchain--ollama--pgvector-a-complete-hands-on-walkthrough-from-0-to-1-with-uv-dependency-management-and-an-interview-guide" class="headerLink">
    <a href="#building-a-local-rag-with-langchain--ollama--pgvector-a-complete-hands-on-walkthrough-from-0-to-1-with-uv-dependency-management-and-an-interview-guide" class="header-mark"></a>Building a Local RAG with LangChain + Ollama + pgvector: A Complete Hands-On Walkthrough from 0 to 1 (with uv Dependency Management and an Interview Guide)</h1><blockquote>
  <p>This post is a directly actionable document. Follow it top to bottom and you will build a local RAG (retrieval-augmented generation) system from scratch and understand the key concepts and code. All core scripts come with comments to make learning and interview review easier.</p>]]></description>
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