Tutorial 23: Code walk through of Creation of a RAG pipeline-2 #ai #langchain #machinelearning #llm

*🚀 Master Generative AI with LangChain – Build Powerful LLM Applications!*

Welcome to your ultimate guide on *Generative AI and LangChain**! This playlist is designed for developers, data scientists, and AI enthusiasts who want to harness the power of **Large Language Models (LLMs)* and build intelligent applications.

🔹 *What You’ll Learn:*
✅ Fundamentals of *LangChain* – Components, Chains, Agents, and Memory
✅ How to integrate *LLMs (GPT, Claude, Llama, etc.)* with LangChain
✅ Building *RAG (Retrieval-Augmented Generation)* systems
✅ Creating *AI chatbots, document summarizers, and automation tools*
✅ Advanced techniques like *agents, toolkits, and embeddings*

🔹 *Why LangChain?*
LangChain simplifies *AI-powered app development* by providing modular tools to work with LLMs, databases, and APIs. Whether you're a beginner or an expert, these tutorials will help you *build, deploy, and scale* cutting-edge AI solutions.

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