RAG use in Real World Products | Day 4 of 50 days RAG | GenAI end to end #viral #ai #rag

Welcome to the RAG 50-Day Challenge 🚀
A shorts-only, end-to-end deep dive into Retrieval Augmented Generation (RAG) - from absolute basics to production-ready RAG systems used in real AI products.

In this challenge, I’ll break down RAG concepts step-by-step in short, crisp videos, making it perfect for:

AI Engineers

ML Engineers

Data Scientists

GenAI & LLM enthusiasts

Interview preparation (FAANG / 30+ LPA roles)

🔥 What you’ll learn in this 50-Day RAG Series:

✅ RAG Basics & Intuition – What RAG is and why LLMs need it
✅ Text, Tokens & Chunking – How text is processed for retrieval
✅ Embeddings & Vector Fundamentals – Mathematical and practical intuition
✅ Vector Databases – FAISS, Pinecone, Chroma & real-world usage
✅ Basic Retrieval Pipelines – Similarity search, top-k, relevance
✅ Advanced Retrieval Techniques – Hybrid search, re-ranking, filters
✅ Context & Prompt Optimization – Reduce hallucinations, improve answers
✅ Advanced RAG Architectures – Multi-hop RAG, agentic RAG, graph RAG
✅ Evaluation & Debugging – How to measure and fix RAG failures
✅ Production & Real-World Applications – Chatbots, search, enterprise AI

This series is practical, interview-focused, and production-oriented, designed to help you build strong GenAI fundamentals and crack high-paying AI roles.

📌 New shorts every day for 50 days
📌 Hands-on + real-world explanations
📌 No fluff, only industry-relevant knowledge

👉 Follow along and build RAG from ZERO to HERO 💪

Видео RAG use in Real World Products | Day 4 of 50 days RAG | GenAI end to end #viral #ai #rag канала Chaos To AI