Langgraph by Aravind choudhary

LangGraph is a practical and comprehensive guide to building reliable, stateful, and controllable AI applications using graph-based workflows. The book introduces the fundamentals of LangGraph and gradually progresses to advanced concepts for developing AI Agents and Agentic AI systems powered by Large Language Models (LLMs). Readers will learn how to design workflows using nodes, edges, states, conditional routing, and loops. The book explains how LangGraph can be used to create AI agents capable of reasoning, planning, using external tools, maintaining state, interacting with users, and working with external knowledge through Retrieval-Augmented Generation (RAG). The book also covers ToolNode, tool calling, memory, checkpoints, human-in-the-loop workflows, middleware, multi-agent systems, error handling, and real-world Agentic AI applications. Practical examples help readers understand how to move from simple LLM workflows to sophisticated autonomous and collaborative AI systems. What You Will Learn LangGraph Fundamentals Introduction to LangGraph LangGraph Architecture LangGraph and Agentic AI LangGraph vs Traditional LLM Chains Setting Up the LangGraph Development Environment Python for LangGraph Graph-Based AI Workflows State, Nodes, and Edges START and END Nodes State Management Building Your First LangGraph Application Workflows and Routing Sequential Workflows Conditional Edges Dynamic Routing Branching Workflows Loops and Iterative Workflows Multi-Step AI Workflows State Updates and Reducers Workflow Control and Execution Human-Controlled Workflows LLM and Agent Integration Large Language Models and LangGraph Chat Models Prompt Engineering Structured Outputs LLM-Based Decision Making AI Agent Architecture Reasoning and Planning Agent Loops Tool Calling Function Calling ToolNode Custom Tools External APIs and Services RAG and Knowledge-Based Agents Retrieval-Augmented Generation (RAG) Document Loading and Processing Text Splitting and Chunking Embeddings Vector Databases Semantic Search Retrievers Building RAG Workflows with LangGraph Document Question-Answering Systems Knowledge-Based AI Agents