How can you build LLM based Gen AI apps with your own production customer data?&nbsp;
Join GCP and DataStax in this 30-minute deep-dive into Generative AI agent architecture.&nbsp; 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 vector search and Vertex.ai embeddings</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&nbsp;&nbsp;</li>
<li style="font-weight: 400;" aria-level="1">Thinking through security and data protection&nbsp;&nbsp;</li>
</ul>
Be sure to stay tuned for a deep dive demo and AMA on using your own enterprise data for chatbots and other Generative AI use cases!

Register Now

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

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