Let&rsquo;s take a deep dive into emerging architectures of Generative AI products at industry-leading companies like Instacart and Shopify.&nbsp; We discuss how these companies built custom Gen AI products with their own unique datasets, using technologies like vector search, retrieval augmented generation (RAG), LangChain, and more.&nbsp;
Learn from Alejandro Cantarero, field CTO of AI at DataStax. Alejandro built a generative AI product for support agents to rapidly answer inquiries at Shopify and designed real-time embedding pipelines to power recommendations and propensity to purchase models at Tribune Publishing and the LA Times.&nbsp;
Alejandro uncovers:
<ul>
<li style="font-weight: 400;" aria-level="1">Generative AI architecture for agents, enterprise text, video, and audio search.&nbsp;</li>
<li style="font-weight: 400;" aria-level="1">Using Vector search and LangChain to add context to LLMs.&nbsp;</li>
<li style="font-weight: 400;" aria-level="1">&nbsp;Different approaches to constructing Generative AI products through various case studies.</li>
</ul>

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How They Built This: Gen AI Products at Instacart, Shopify, and more

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Alan Ho

Alejandro Cantarero

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How They Built This: Gen AI Products at Instacart, Shopify, and more

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Alan Ho

Alejandro Cantarero