<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RAG on LoopRouter Blog</title><link>https://blog.looprouter.com/tags/rag/</link><description>Recent content in RAG on LoopRouter Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Wed, 16 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.looprouter.com/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>给大模型喂新知识,该放进上下文、参数还是 KV 缓存?一张成本-质量决策表</title><link>https://blog.looprouter.com/docs/llm-knowledge-injection-context-vs-finetune-vs-kv-cache/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate><guid>https://blog.looprouter.com/docs/llm-knowledge-injection-context-vs-finetune-vs-kv-cache/</guid><description>&lt;blockquote&gt;&#10;&lt;p&gt;本文基于 arXiv 论文《Where Should a Document Live: Context, Representations, or Parameters?》(arXiv:2609.17346v1)的公开摘要整理与二次分析,加入 LoopRouter 在模型接入与成本治理上的视角;原文见文末链接。文中数字沿用来源设定,建议以你自己的任务集复测。&lt;/p&gt;</description></item></channel></rss>