How can you build LLM based Gen AI apps with your own production customer data?&nbsp;
Join Google Cloud, LangChain and DataStax in this deep dive into Generative AI agent architecture. We&rsquo;ll build an enterprise customer service chatbot that uses Vertex.ai embedding and RAG (Retrieval Augmented Generation) with LangChain and Astra DB vector search.&nbsp;&nbsp;&nbsp;
We&rsquo;ll demo and discuss:&nbsp;
<ul>
<li style="font-weight: 400;" aria-level="1">Creating memory for LLMs with Vertex AI embeddings and Astra vector search</li>
<li style="font-weight: 400;" aria-level="1">Best practices for data pre-processing and chunking documentation for vectors</li>
<li style="font-weight: 400;" aria-level="1">Real-world Prompt Engineering and testing for Production AI apps?&nbsp;</li>
<li style="font-weight: 400;" aria-level="1">Thinking through security and data protection&nbsp; </li>
</ul>

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Build Production Gen AI Chat with Vertex AI, LangChain and Astra DB Vector Search

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Yemi Falokun

Lance Martin

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Alex Leventer

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Build Production Gen AI Chat with Vertex.ai, LangChain and Astra DB Vector Search

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Yemi Falokun

Lance Martin

Alex Leventer