https://example.org/en/tags/rag/Recent content in Rag on My New Hugo ProjectHugo -- gohugo.ioen© 2026 Blog AuthorWed, 19 Aug 2026 09:00:00 +0800https://example.org/en/ai/rag-intro/Wed, 19 Aug 2026 09:00:00 +0800https://example.org/en/ai/rag-intro/<h2 class="relative group">Why RAG <div id="why-rag" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#why-rag" aria-label="Anchor">#</a> </span> </h2> <p>LLM knowledge has a cutoff date and can&rsquo;t cover private documents. <strong>Retrieval-augmented generation (RAG)</strong> first retrieves relevant content from a knowledge base, then has the model answer based on it — sharply reducing hallucinations.</p>