Grounding for Gemini with Vertex AI Search and DIY RAG

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Grounding for Gemini with Vertex AI Search and DIY RAG

Рет қаралды 13,355

Күн бұрын

Learn about grounding with generative AI and discover how to integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system.
Github → goo.gle/4b6pcN7
NOTE: Cloud Credits discussed in this session or workshop were for live audiences only
Speaker: Holt Skinner
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Products Mentioned: Vertex AI
Event: Google I/O 2024

Пікірлер: 8

@ololandai 7 күн бұрын

Great presentation! Very informative, step by step, not jumping over any gaps. I look forward to more content from you!

@attilavass6935 3 ай бұрын

I'm sad because: - we can not have public websites crawled regularly in our Chat and Agent type Apps, only in Search type... - Gemini 1.5 (Pro) is not available for the apps (EU)

@jensbrndgaardpoulsen9867 10 күн бұрын

Hi. You mention avaiable connectors to Confluence. This i cannot find. Can you give a reference or some documentation? Thanks

@MrStupiuno 2 ай бұрын

This is super exciting, but it’s hard to get Gemini these days to reply to anything reliably over time without it saying “As a language model I can’t help you with that”. Even when it’s a simple question that the competitors answer easily.

@Optimusjf 3 ай бұрын

Exclent content

@needpeace5214 3 ай бұрын

The advanced option allows you to use Flash, but if you customize through agents, it's not available? And in general, is the advanced variant more efficient because of different frameworks and, for example, the ability to search through images, which is not available in agents?