What is RAG? | LLM + RAG = Next Level AI🔥| Tamil Explanation + No-Code Demo – Part 1

Dive into the world of AI with our RAG series! In this first video (Part 1), we break down the fundamentals: How Large Language Models (LLMs) like ChatGPT work, the normal Generative AI (GenAI) process, what Retrieval Augmented Generation (RAG) really is, how RAG enhances AI systems, and a step-by-step guide to implementing RAG using no-code tools. Perfect for beginners aspiring to become AI engineers!
Whether you're curious about AI concepts, wanting to understand LLM architecture, or looking to build RAG applications without coding, this tutorial has you covered. Learn how RAG combines retrieval and generation to make AI smarter and more accurate, overcoming limitations of traditional GenAI.


Key topics covered:
How LLMs process and generate text
Standard GenAI workflow explained
Introduction to RAG: What it is and why it matters
Detailed breakdown of how RAG works
Hands-on no-code RAG implementation using tools like LangChain or Bubble
ஒரு CONCEPT போதும்! நீங்கள் A.I. ENGINEER ஆக – Start your journey today!


What is RAG AI, Retrieval Augmented Generation explained, How LLMs work, GenAI process tutorial, No code RAG implementation, AI for beginners, RAG vs LLM, Build RAG system, AI engineering concepts, Tamil AI tutorial
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