How RAG Model Works | Retrieval-Augmented Generation Explained Simply

Description

In this video, I’ll explain how the RAG (Retrieval-Augmented Generation) model works — one of the most powerful techniques behind modern AI assistants like ChatGPT, Gemini, and Claude. 🤖 You’ll learn: 📚 What RAG is and why it was introduced 🔍 How retrieval and generation work together ⚙️ Step-by-step architecture breakdown of a RAG pipeline 💡 Real-world use cases and benefits of using RAG 🔥 Bonus: How to build a simple RAG system with Python Perfect for AI developers, data scientists, and researchers who want to understand or build knowledge-grounded LLMs. 🔗 Explore more AI resources & connect with me: 🌐 Website: https://pavithravbhuvan.com/ 💬 Discord: https://discord.gg/rWdVCmjAHp 📂 GitHub: https://github.com/pavithra20august/pavithraspodcast-files 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan