<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vector Database on XiDao 技术博客</title><link>https://blog.xidao.online/tags/vector-database/</link><description>Recent content in Vector Database on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/tags/vector-database/index.xml" rel="self" type="application/rss+xml"/><item><title>RAG 2.0 in Practice: Latest Retrieval-Augmented Generation Architecture in 2026</title><link>https://blog.xidao.online/en/posts/2026-rag-architecture-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-rag-architecture-guide/</guid><description>&lt;h1 class="relative group"&gt;RAG 2.0 in Practice: Latest Retrieval-Augmented Generation Architecture in 2026
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&lt;h2 class="relative group"&gt;Introduction
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&lt;p&gt;Retrieval-Augmented Generation (RAG), first introduced by Facebook AI Research in 2020, has become one of the most critical paradigms in large language model (LLM) applications. By 2026, RAG has evolved from its original naive &amp;ldquo;retrieve → concatenate → generate&amp;rdquo; pattern into an entirely new phase — &lt;strong&gt;RAG 2.0&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>RAG 2.0实战：2026年最新检索增强生成架构</title><link>https://blog.xidao.online/posts/2026-rag-architecture-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-rag-architecture-guide/</guid><description>&lt;h1 class="relative group"&gt;RAG 2.0实战：2026年最新检索增强生成架构
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&lt;h2 class="relative group"&gt;引言
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&lt;p&gt;检索增强生成（Retrieval-Augmented Generation, RAG）自2020年被Facebook AI Research首次提出以来，已经成为大语言模型（LLM）应用中最重要的范式之一。到2026年，RAG已经从最初简单的&amp;quot;检索+拼接+生成&amp;quot;模式，演进到了一个全新的阶段——&lt;strong&gt;RAG 2.0&lt;/strong&gt;。&lt;/p&gt;</description></item></channel></rss>