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Inspect Rich Documents with Gemini Multimodality and Multimodal RAG: Challenge Lab | GSP520

Автор: SheCodes

Загружено: 2025-07-20

Просмотров: 13915

Описание: 🚀 Inspect Rich Documents with Gemini Multimodality & RAG | Google Cloud Challenge Lab Walkthrough 🎯

Welcome to this video walkthrough of the “Inspect Rich Documents with Gemini Multimodality and Multimodal RAG: Challenge Lab” (GSP520) on Google Cloud Skills Boost!

This lab is part of the Gemini Multimodality Skill Badge path and is designed to test your skills in real-world scenarios. Unlike guided labs, this challenge lab provides tasks without step-by-step instructions. You'll apply your knowledge of Google’s Gemini multimodal model and Retrieval Augmented Generation (RAG) to extract insights from rich content, including text, images, and video.

🧠 What You’ll Learn in This Lab:
In this hands-on session, you'll use Vertex AI Workbench and Gemini's generative capabilities to complete two major tasks:

🔍 Task 1: Generate Multimodal Insights
Analyze and compare multiple brand images

Generate a description from a Pixel 8 Pro promotional video

Extract object tags from the video

Ask follow-up questions about the video content

Retrieve additional information beyond what's visible in the video

Gemini’s multimodal ability helps you understand visuals and videos deeply by combining text and image input into smart responses.

📄 Task 2: Retrieval-Augmented Generation (RAG)
Here, you'll work with two documents:

Google’s Terms of Service (text-only)

A shortened 10-K financial report (text + images)

You will:

Build and inspect metadata for text chunks and images

Use helper functions like get_similar_text_from_query() and get_similar_image_from_query() to perform semantic search

Pass relevant context into Gemini and generate intelligent answers

Print citations to show source credibility

🔧 Tools & Setup
You’ll run this lab in the Vertex AI Workbench (JupyterLab) using Python 3. The lab environment provides access to Gemini’s SDK, pretrained documents, and helper functions needed for multimodal search and response generation.

✅ Ideal For:
This challenge lab is ideal for learners aiming to:

Master Gemini’s multimodal AI capabilities

Understand multimodal RAG workflows

Build real-world document insight pipelines

Earn the Gemini Multimodality Skill Badge from Google Cloud

If you enjoy the video, don’t forget to:
👍 Like
💬 Comment
🔔 Subscribe for more Google Cloud labs and AI tutorials!

Github file - https://github.com/BhumikaJoshi13/Ins...


#GoogleCloud #GeminiAI #MultimodalAI #VertexAI #ChallengeLab #RAG #GoogleCloudLabs #GSP520 #GenAI #AIlabs #CloudSkillsBoost

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Inspect Rich Documents with Gemini Multimodality and Multimodal RAG: Challenge Lab | GSP520

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