Stop Using the Wrong AI Framework (Choose This Instead) | Tamil | Karthik's Show

Choosing the right AI framework can make or break your project. Right now, everyone is building AI apps… but most people are using the wrong framework. And the problem? It doesn’t fail immediately — it fails later when your app becomes slow, messy, and impossible to scale. In this video, I break down exactly when to use each AI framework — based on real-world use cases. All explained in Tamil. Whether you're building a chatbot, AI workflow, multi-agent system, or a RAG-based application, this guide will help you make the right decision from the start. 🚀 What You’ll Learn How to choose the right AI framework for your use case When to use LangChain vs LangGraph CrewAI vs AutoGen (which one is better?) When to use LlamaIndex for data-heavy apps Common mistakes that break AI projects 🧠 Frameworks Covered LangChain – for simple apps & chatbots LangGraph – for workflows & complex logic CrewAI – for structured multi-agent systems AutoGen – for flexible agent interactions LlamaIndex – for RAG & data-heavy applications ⚠️ Avoid This Mistake Most developers overcomplicate their AI apps by choosing the wrong framework too early. This video helps you avoid that trap and build scalable systems from day one. 🎯 Who This Video Is For AI developers Beginners building AI apps Anyone working with LLMs or agents Developers confused about AI frameworks 🔥 Why This Matters The difference between a clean, scalable AI system and a broken one often comes down to a single decision: the framework you choose. Subscribe for more practical AI content on Karthik’s Show. Check 'Python Programming for Beginners' Tamil course at https://www.karthiksshow.com/courses/Python-Programming-for-Beginners-638dbf0ce4b09464540754a9. Check 'Python Programming for Machine Learning' Tamil course at https://www.karthiksshow.com/courses/Python-Programming-for-Machine-Learning-649d29ace4b0834a0c48cee3 Check "Python Programming Package" at https://www.karthiksshow.com/courses/Python-Programming-Packa