<?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 C.CUI's Log</title><link>https://cuicaihao.github.io/tags/rag/</link><description>Recent content in RAG on C.CUI's Log</description><generator>Hugo</generator><language>en-AU</language><lastBuildDate>Sun, 23 Aug 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Is Enterprise RAG Worth Implementing: From Scenario Selection to Ongoing Governance</title><link>https://cuicaihao.github.io/posts/2026-08-23-is-enterprise-rag-worth-implementing-from-scenario-selection-to-ongoing-governance/</link><pubDate>Sun, 23 Aug 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/posts/2026-08-23-is-enterprise-rag-worth-implementing-from-scenario-selection-to-ongoing-governance/</guid><description>This blog post critically examines the implementation of Retrieval-Augmented Generation (RAG) in enterprises, addressing key considerations from identifying suitable business scenarios to establishing robust ongoing governance. It uses a practical travel policy example to illustrate RAG&amp;rsquo;s potential in providing precise, context-aware answers to complex employee queries, surpassing traditional search methods. The article emphasizes that successful RAG deployment requires careful assessment of business value, cost-effectiveness, and effective management of challenges such as knowledge versioning, access control, and answer accountability.</description></item></channel></rss>