1.0KDAN 官方部落格https://www.kdan.com/zh-tw/blogKDANhttps://www.kdan.com/zh-tw/blog/author/kdanmobile/rich600338<blockquote class="wp-embedded-content" data-secret="QUYULqhoeV"><a href="https://www.kdan.com/zh-tw/blog/about/kdan-ai-rag/"><strong>什麼是 RAG？五分鐘解析 RAG 增強檢索生成模型及如何提升企業效率</strong></a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.kdan.com/zh-tw/blog/about/kdan-ai-rag/embed/#?secret=QUYULqhoeV" width="600" height="338" title="“<strong>什麼是 RAG？五分鐘解析 RAG 增強檢索生成模型及如何提升企業效率</strong>” — KDAN 官方部落格" data-secret="QUYULqhoeV" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://www.kdan.com/zh-tw/blog/wp-includes/js/wp-embed.min.js </script> https://www.kdan.com/zh-tw/blog/wp-content/uploads/2024/10/markus-spiske-FXFz-sW0uwo-unsplash-scaled.jpg25601707RAG（Retrieval-Augmented Generation，檢索增強生成）是一項融合檢索與生成的技術，目的為提升生成式 AI 的準確性和可靠度。本文將詳細探討 RAG 的概念與運作方式、應用場景及未來發展，並說明這項技術如何在不同領域推動 AI 的應用。