**Generative AI with LangChain** is a practical, hands-on guide to building intelligent AI applications using Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, and modern Generative AI techniques.

Designed for students, developers, professionals, and AI enthusiasts, this book takes you from the fundamentals of Generative AI and LLMs to building real-world AI-powered applications with Python and LangChain.

You will learn how to work with LLMs, create effective prompts, connect AI models with external data, build RAG-based applications, develop intelligent AI agents, integrate tools, manage conversations and memory, and create practical Generative AI solutions.

### What You Will Learn

* Fundamentals of Generative AI and Large Language Models (LLMs)
* Introduction to LangChain and its core components
* Prompt Engineering and effective prompt design
* Working with LLMs and chat models
* Prompt templates and structured outputs
* Embeddings and vector databases
* Retrieval-Augmented Generation (RAG)
* Document loading, text splitting and data processing
* Building question-answering applications
* AI Agents and tool calling
* Memory and conversational AI applications
* Integrating external tools and APIs
* Building practical AI-powered applications with Python
* Understanding modern Generative AI application architecture

With practical examples and project-oriented learning, this book helps you understand not only **how Generative AI works**, but also **how to build useful AI applications with LangChain**.

Whether you are a beginner starting your journey in Generative AI or a developer looking to build LLM-powered applications, this book provides a practical foundation for exploring the rapidly evolving world of Generative AI and LangChain.