Advanced RAG System Design Explained ⚡(In Hindi) | Query Transformation + Fusion + MQ | Chapter 11

In Chapter 11 of the Generative AI for Developers Series, we go beyond the basics of RAG pipelines and dive into advanced RAG system design.

📌 What you’ll learn in this video:
✅ Query Transformation Techniques – Multi Query, Decomposition, Step-Back Prompting, RAG-Fusion
✅ Why & How to Use a Messaging Queue to handle LLM rate limiting issues
✅ System design considerations for building scalable RAG applications

By the end of this video, you’ll understand how to take your RAG pipeline from prototype to production-grade with better accuracy, scalability, and reliability.

📌 Series Structure:
This series will have 12–13 chapters, each releasing every 7–10 days. So, make sure you subscribe and hit the bell icon 🔔 to stay updated!

💡 Tip: Keep your notebook ready 📝, code along with me, and practice to master the concepts.

📽️ Watch the full playlist here: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wbEj9uiMYTmGBAel5Wm2sf4]

Create OpenAI API Key: [https://youtu.be/lLKA5fTWwHA]

GitHub: https://github.com/LoopKaka/generative-ai

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Code ka chakkar, LoopKaka ke sath! 💻🌍

Streamlit Playlist: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wZZRnJii5S7FOWzuDdN8hla]

Generative AI For Developer: [https://www.youtube.com/playlist?list=PLJlUSSYHG1wbEj9uiMYTmGBAel5Wm2sf4]

Find me on LinkedIn: [https://www.linkedin.com/in/sangrambadi/]

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Видео Advanced RAG System Design Explained ⚡(In Hindi) | Query Transformation + Fusion + MQ | Chapter 11 канала Loop Kaka