Welcome to Part 1 of the LangChain Tutorial — a complete beginner-friendly guide to understanding the LangChain ecosystem, architecture, and how it simplifies the process of building LLM-powered applications like Chatbots, RAG systems, and AI Agents. 🔗 Playlists Mentioned: Generative AI Full Course 2025: Official Data Scientist Roadmap 2025: In this video, we’ll explore: 🔍 What is LangChain and why it’s needed in GenAI 🧩 LangChain architecture explained — Core, Community, LangGraph & LangSmith ⚙️ The 3-step LLM application lifecycle — Develop, Productionize, Deploy 🧠 How LangChain provides standard interfaces for models, retrievers & tools 🧰 Overview of integration packages (OpenAI, Anthropic, Google Gemini, etc.) 🚀 What’s next in this LangChain series — hands-on coding, RAG apps & Agent demos #langchain #generativeai #datascience #skdneuron 👉 Don’t forget to like, share & subscribe 🔔 SKD Neuron by Sumit Kumar Dash that breakdown to help others avoid the same pitfalls!