RAG Explained Simply: Fixing LLM Problems with building Real-World AI AP...

RAG Explained Simply: Fixing LLM Problems with building Real-World AI APP powered with RAG | Part1

In this video, we break down Retrieval-Augmented Generation (RAG) in the simplest terms — what it is, why it matters, and how it fixes the limitations of Large Language Models (LLMs) like GPT.

🔍 What you’ll learn in this part:

1. What is RAG and why did it evolve?

2. The hidden limitations of LLMs (hallucinations, lack of context, outdated knowledge)

3. How RAG-powered AI apps solve these issues

4. A simple, real-life analogy: a Smart HR Virtual Assistant that answers employee leave balance questions

5. Visual diagrams showing how data flows from PDF → Vector Database → LLM

6. A sneak peek demo of the final app to get you excited for what’s coming next!

💡 Whether you're a developer, product manager, or just AI-curious, this video lays the foundation you need to understand how modern AI apps are built with RAG.

https://www.youtube.com/watch?v=DO_crG2LdOo