<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
        xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"
        xmlns:image="http://www.google.com/schemas/sitemap-image/1.1">
  <url>
    <loc>https://saganote.com/what-is-retrieval-augmented-generation-rag</loc>
    <news:news>
      <news:publication>
        <news:name>Saganote</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-20T06:47:07+00:00</news:publication_date>
      <news:title>Retrieval-Augmented Generation: What RAG Is and Why 51% of Enterprise AI Uses It</news:title>
    </news:news>
    <image:image>
      <image:loc>https://media.saganote.com/images/2026/06/retrieval-augmented-generation-document-search-49ca70-1200x675.webp</image:loc>
      <image:title>Rows of filing cabinets and document folders in a large archive library</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://saganote.com/what-is-a-large-language-model</loc>
    <news:news>
      <news:publication>
        <news:name>Saganote</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-20T06:32:51+00:00</news:publication_date>
      <news:title>What Is a Large Language Model - and How Does It Work?</news:title>
    </news:news>
    <image:image>
      <image:loc>https://media.saganote.com/images/2026/06/what-is-a-large-language-model-and-how-does-it-work-dbc1ed-1200x675.webp</image:loc>
      <image:title>Illustration explaining how a large language model (LLM) works, including training data, neural networks, language processing, and AI-generated responses.</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://saganote.com/anthropic-overtakes-openai-revenue-30-billion</loc>
    <news:news>
      <news:publication>
        <news:name>Saganote</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-06-19T14:32:55+00:00</news:publication_date>
      <news:title>Anthropic Overtakes OpenAI in Revenue - Hitting $30 Billion Run Rate</news:title>
    </news:news>
    <image:image>
      <image:loc>https://media.saganote.com/images/2026/06/anthropic-vs-openai-revenue-comparison-2026-featured-image-d740ca-1200x675.webp</image:loc>
      <image:title>Illustration comparing OpenAI and Anthropic with futuristic revenue growth charts, AI analytics dashboards, and digital business metrics.</image:title>
    </image:image>
  </url>
</urlset>