📌 Inspect Rich Documents with Gemini Multimodality & RAG | Challenge Lab | Gen AI Program

Описание: Welcome to the final and most advanced lab in the Generative AI Exchange Program by Google Cloud and Hack2Skill! 🚀

In this video, I walk you through the Challenge Lab for Gemini Multimodality and Retrieval-Augmented Generation (RAG) — where we use the Gemini model to extract insights from rich, unstructured documents using both text and images.

We also leverage multimodal context retrieval with Gemini API, making this lab one of the most enterprise-relevant use cases in the entire course.

⏱️ Timestamps:
00:00 Introduction
00:47 Setup and requirements
04:25 Task 1. Generate multimodal insights with Gemini
24:07 Task 2. Retrieve and integrate knowledge with multimodal retrieval augmented generation (RAG)

🔍 What you'll learn in this video:

How to use Gemini Multimodality for document processing

How to build a multimodal RAG pipeline using Vertex AI

Extracting insights from images, PDFs, and structured prompts

Complete walkthrough of the Challenge Lab and solution

Final badge submission steps

✅ This lab is perfect for anyone looking to build AI-powered document understanding systems — useful for legal docs, reports, resumes, contracts, and more.

📂 GitHub Repo (Used in This Video):
👉 https://github.com/BhumikaJoshi13/Ins...

📖 Also check out my Medium blog on completing the full Gemini + Imagen course:
👉   / completed-build-real-world-ai-applications...  

🎓 Course Link:
👉 https://www.cloudskillsboost.google/c...

👉 Don’t forget to like, share, and subscribe — more GenAI videos, projects, and real-world demos are on the way!

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