LangChain Components Explained in 2 Minutes (LLM, Chains, Agents, Memory)

Description

Want to understand LangChain quickly? This 2-minute video explains all core LangChain components in a simple and clear way. We cover: - LLM module (GPT-4, Llama 2 integration) - Prompt templates & few-shot prompting - Chains (how workflows are built) - Indexes (document loaders, vector databases, embeddings) - Memory (chat history handling) - Agents (autonomous decision making) If you're building AI apps, RAG systems, or working with LLMs, this is a must-know foundation. 🎥 Watch next: LangChain Explained in 5 Minutes → (your previous video link) 🚀 Perfect for: - AI Engineers - Backend Developers - Beginners in Generative AI - Anyone learning LangChain #LangChain #AIEngineering #LLM #GenerativeAI #RAG #VectorDatabase #AIForDevelopers