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Setting Up a RAG Demo on NVIDIA AI Workbench - Step-by-Step Tutorial

Offered By: Nvidia via YouTube

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Generative AI Courses GitHub Courses Retrieval Augmented Generation Courses

Course Description

Overview

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Learn how to set up a complete generative AI retrieval-augmented generation (RAG) system on your own computer using NVIDIA AI Workbench in this 25-minute tutorial. Follow along as Lee Bushen, solutions architect at NVIDIA, guides you through the installation process, from creating necessary accounts to launching and interacting with the RAG project. Discover how to use this free developer toolkit to create a RAG project without requiring a local GPU. Explore topics such as prerequisites, account creation, AI Workbench installation, project cloning, API key management, example prompts, and system management. Gain access to valuable resources including project storage, API calls to optimized LLMs, and sample user data files to enhance your RAG system implementation.

Syllabus

– Intro and Prerequisites
– Create GitHub and NGC Accounts
– AI Workbench Install
– Clone/Launch the RAG Project
– How to Re-Enter the API Key
– Example Prompts
– Stopping/Restarting the Demo


Taught by

NVIDIA Developer

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