**LangChain Programming** is a practical guide to building modern AI applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, tools, and generative AI technologies.

This book takes you from the fundamentals of LangChain to advanced concepts required to develop intelligent, real-world AI applications. You will learn how to work with LLMs, prompts, chains, structured outputs, embeddings, vector databases, document loaders, retrievers, memory, tools, agents, and RAG-based applications.

You will also explore how LangChain can be used with popular AI models and services to create intelligent chatbots, question-answering systems, document-based assistants, and autonomous AI agents. The book introduces practical techniques for connecting AI models with external tools, databases, APIs, and custom data.

**Key Topics Covered:**

* Introduction to LangChain and LLM Application Development
* Python Programming for AI Applications
* Prompt Templates and Prompt Engineering
* Chat Models and LLM Integration
* Chains and Structured Outputs
* Embeddings and Vector Databases
* Document Loaders and Text Splitters
* Retrieval-Augmented Generation (RAG)
* Building AI Chatbots and Question-Answering Systems
* Tools and Function Calling
* AI Agents and Agent Workflows
* LangGraph Fundamentals
* Memory and Conversation Management
* Working with PDFs and Custom Documents
* Integrating APIs and External Tools
* Building Practical Generative AI Applications
* Advanced Agentic AI Concepts

With practical examples and project-oriented learning, this book is suitable for students, developers, software engineers, AI/ML professionals, and anyone who wants to learn how to build LLM-powered applications using LangChain and Python.

By the end of this book, you will have the knowledge needed to design and develop practical **Generative AI, RAG, and Agentic AI applications** using LangChain.