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Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API
Coursera
Guided Project
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Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API

Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to perform multimodal retrieval augmented generation (RAG) using Vertex AI Gemini API

Unknown1 weeksEnglish

About this Course

Complete this Guided Project in under 2 hours. This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to perform ...

What You'll Learn

  • Extract and store metadata of documents containing both text and images, and generate embeddings the documents
  • Search the metadata with text queries to find similar text or images
  • Search the metadata with image queries to find similar images.Using a text query as input, search for contextual answers using both text and images

Prerequisites

  • Basic familiarity with the software or workflow used in the project
  • Ability to follow step-by-step instructions in English

Instructors

G

Google Cloud Training

Topics

Cloud Computing
Information Technology
Software Development
Computer Science
Cloud API
Multimodal Prompts
Data Manipulation
Google Gemini
Data Store
Data Capture

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Cloud Computing
Information Technology
Software Development
Computer Science
Cloud API
Multimodal Prompts
Data Manipulation
Google Gemini
Data Store
Data Capture

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