RAG Explained Completely | Full Theory of Retrieval Augmented Generation (Beginner to Advanced)

Description

What you’ll learn: What RAG actually is (simple explanation) Why traditional LLMs fail (hallucination problem) Complete RAG architecture explained Data collection & cleaning (why it matters) Chunking (how to choose the right size) Embeddings (how AI understands meaning) Vector databases (FAISS explained simply) Retrieval process (Top-K search) Re-ranking (how to improve accuracy ) Prompt engineering for RAG How final answers are generated Evaluation techniques (how to measure performance) Who should watch this? Beginners in AI / Machine Learning Developers building chatbots or AI agents Anyone confused about how RAG actually works Why this video is different: No fluff. No copy-paste definitions. Just a deep, practical understanding of RAG explained in the simplest way possible. Keywords: RAG, Retrieval Augmented Generation, RAG tutorial, RAG explained, AI concepts, LLM, vector database, FAISS, embeddings, AI chatbot #RAG #AI #MachineLearning #LLM #ArtificialIntelligence