RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.
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talk-data.com
A
Speaker
Alan Blount
1
talks
Product Manager
Google
Product Manager at Google
Bio from: AI Agent 2 Agent Summit (NYC)
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with
Alan Blount
(Google)
,
Jeff Stone
(Discover Financial Services)
,
Ewa Duerr
(Google Cloud)
,
Ramanathan Lakshmikanthan
(Palo Alto Networks)