CF

RAG for Real-World AI Applications

26m 55s
English
Paid

Large language models know only the text in their training data. They learn from public sources like docs, books, and articles. But many projects need an AI system that works with your own data.

What You Learn

This course shows you how to use Retrieval Augmented Generation (RAG) to add new facts to an LLM. You learn how embeddings work and how vector search finds useful text. You see how RAG builds clear context for each request.

How You Use RAG

You learn how to store data and keep it up to date. You also add RAG to real projects with simple code. Each step helps you build a system that can answer questions with your own data.

Additional

EARLY ACCESS. TO BE CONTINUE.

About the Authors

Daniel Kelly

Daniel Kelly thumbnail

Daniel Kelly is a US developer and Vue Mastery instructor, the co-author of Mastering Nuxt with Michael Thiessen, and one of the long-running independent voices on the Vue / Nuxt ecosystem. He is also a contributor to the modern AI-coding workflow content on CourseFlix's catalog.

His CourseFlix listing carries four Daniel Kelly courses spanning the AI-coding track: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding tools and RAG patterns deliberate parts of their daily engineering practice. For broader content, see CourseFlix's AI-Assisted Coding, RAG, and AI Agents category pages.

Garrison Snelling

Garrison Snelling thumbnail

Garrison Snelling is a US developer and AI educator focused on the practical applied-AI workflow for working software engineers — RAG implementations, AI-assisted coding, agent orchestration, and the productivity workflows around modern AI tooling.

His CourseFlix listing carries four Garrison Snelling courses: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding tools and agentic workflows core parts of their daily engineering practice rather than side experiments. For broader content, see CourseFlix's AI-Assisted Coding, AI Agents, and RAG category pages.

Justin Schroeder

Justin Schroeder thumbnail

Justin Schroeder is a US developer and the co-founder of FormKit — the popular Vue.js form-builder library — alongside his work as an independent AI-coding educator. He has been one of the more visible voices on the modern AI-assisted-engineering workflow.

His CourseFlix listing carries four Justin Schroeder courses on the AI-engineering track: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding and RAG patterns deliberate parts of their daily practice. For broader content, see CourseFlix's AI-Assisted Coding, RAG, and AI Agents category pages.

Vue School

Vue School thumbnail

Vue School (vueschool.io) is a Greece-based Vue.js training platform founded by Alex Kyriakidis, an early Vue community member and one of the longest-running independent Vue educators. Vue School operates as both an on-demand course platform and a Vue / Nuxt consulting business, with course material that often emerges from real client engagements.

Course material covers the full Vue ecosystem: Vue 3 fundamentals through advanced Composition API patterns, Nuxt 3 production deployment, Pinia state management, Vue Router, the testing track with Vitest, TypeScript with Vue, real-time features with Pusher / WebSockets, and the broader full-stack Vue work. Vue School also publishes the popular Mastering Pinia course in collaboration with Pinia's author Eduardo San Martín Morote.

The CourseFlix listing under this source carries over 30 Vue School courses spanning that range. Material is paid; Vue School runs on per-course or membership pricing on the original platform. Courses are aimed at Vue developers from beginner through senior level building production Vue applications.

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#1: Intro to Real World RAG
All Course Lessons (4)
#Lesson TitleDurationAccess
1
Intro to Real World RAG Demo
03:13
2
Real World RAG Use-Cases from Top Companies
04:07
3
How RAG Works – A High Level Overview
05:58
4
Project Setup and Vibe Coding the Chat UI
13:37
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Course content

4 lessons · 26m 55s
Lessons
  1. 1 Intro to Real World RAG 03:13
  2. 2 Real World RAG Use-Cases from Top Companies 04:07
  3. 3 How RAG Works – A High Level Overview 05:58
  4. 4 Project Setup and Vibe Coding the Chat UI 13:37

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Frequently asked questions

What is RAG for Real-World AI Applications about?
Large language models know only the text in their training data. They learn from public sources like docs, books, and articles. But many projects need an AI system that works with your own data. What You Learn This course shows you how to…
Who teaches RAG for Real-World AI Applications?
RAG for Real-World AI Applications is taught by Daniel Kelly, Garrison Snelling, Justin Schroeder, Vue School. You can find more courses by these instructors on the corresponding source pages.
How long is RAG for Real-World AI Applications?
RAG for Real-World AI Applications contains 4 lessons with a total runtime of 26 minutes. All lessons are available to watch online at your own pace.
Is RAG for Real-World AI Applications free to watch?
RAG for Real-World AI Applications is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch RAG for Real-World AI Applications online?
RAG for Real-World AI Applications is available to watch online on CourseFlix at https://courseflix.net/course/rag-for-real-world-ai-applications. The page hosts every lesson with the integrated video player; no download is required.