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      <title>Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash</title>
      <link>https://www.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/en/mediumimage/sudeep-das-medium-1785845550765.jpeg"/&gt;&lt;p&gt;Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to dramatically boost relevance and conversion metrics.&lt;/p&gt; &lt;i&gt;By Sudeep Das&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Rankings</category>
      <category>E-Commerce</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>vector databases</category>
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      <pubDate>Sat, 15 Aug 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Sudeep Das</dc:creator>
      <dc:date>2026-08-15T11:00:00Z</dc:date>
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