**LangChain and LangGraph with Agentic AI** is a practical guide to building intelligent, autonomous AI applications using **LangChain, LangGraph, Large Language Models (LLMs), RAG, tools, memory, and agent-based workflows**.

This book takes you from the fundamentals of modern Agentic AI to the development of practical AI agents capable of reasoning, using tools, maintaining state, interacting with external data, and executing multi-step workflows.

You will learn how to use **LangChain** to build LLM-powered applications and how **LangGraph** enables you to create stateful, controllable, and multi-step agent workflows. The book also explores how to combine these technologies with **RAG, vector databases, embeddings, tool calling, memory, human-in-the-loop systems, and multi-agent architectures**.

### What You Will Learn

* Fundamentals of Generative AI, LLMs, and Agentic AI
* LangChain architecture and core components
* Building LLM-powered applications with LangChain
* Prompt templates, chains, structured outputs, and tool calling
* Creating AI agents that can use external tools
* LangGraph fundamentals and graph-based agent workflows
* State management, persistence, checkpoints, and memory
* Building RAG-based AI applications
* Embeddings, vector databases, and semantic search
* Human-in-the-loop Agentic AI systems
* Multi-step and multi-agent workflows
* Integrating APIs and external tools with AI agents
* Building practical Agentic AI projects
* Designing reliable, scalable, and production-oriented AI workflows

### Who This Book Is For

This book is designed for **Python developers, software developers, students, AI/ML professionals, data scientists, corporate trainers, and anyone interested in building modern AI applications and autonomous AI agents**.

Whether you are new to Agentic AI or already working with LLMs and Generative AI, this book provides a practical path from concepts to implementation.

By the end of this book, you will have a strong understanding of **LangChain, LangGraph, RAG, AI agents, tool calling, memory, stateful workflows, and Agentic AI architecture**, enabling you to build intelligent applications that go beyond simple chatbot interactions.