Simplify the creation of generative apps with Vertex AI search as your RAG system

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.
Speakers: Ewa Duerr, Alan Blount, Ramanathan Lakshmikanthan, Jeff Stone
Watch more:
All sessions from Google Cloud Next → goo.gle/next24
#GoogleCloudNext
AIML135

[@attilavass6935]

Are you at Google sure you don't want to allow us to crawl a public blog for our RAG system in an Agent app type?! I haven't tested it with a public online docs or a Github repo, but I suppose those crawls are also not allowed. It is a huge 👎