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4 changes: 2 additions & 2 deletions docs/chapter1/01_RAG_intro.md
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Expand Up @@ -40,8 +40,8 @@ RAG 的技术架构经历了从简单到复杂的演进,如图 1-2 大致可
<table border="1" style="margin: 0 auto;">
<tr>
<th style="text-align: center;"></th>
<th style="text-align: center;">初级 RAG(Naive RAG)</th>
<th style="text-align: center;">高级 RAG(Advanced RAG)</th>
<th style="text-align: center;">原生 RAG(Naive RAG)</th>
<th style="text-align: center;">增强 RAG(Advanced RAG)</th>
<th style="text-align: center;">模块化 RAG(Modular RAG)</th>
</tr>
<tr>
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2 changes: 1 addition & 1 deletion docs/chapter4/12_query_construction.md
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Expand Up @@ -4,7 +4,7 @@

**查询构建(Query Construction)**[^1] 正是应对这一挑战的关键技术。它利用大语言模型(LLM)的强大理解能力,将用户的自然语言查询“翻译”成针对特定数据源的结构化查询语言或带有过滤条件的请求。这使得RAG系统能够无缝地连接和利用各种类型的数据,从而极大地扩展了其应用场景和能力。

下图展示了查询构建在一个高级RAG流程中所处的位置
下图展示了查询构建在一个增强 RAG 流程中所处的位置

![Advanced RAG Pipeline](./images/4_2_1.webp)

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