Mastering LangChain: From Basics to Stateful Agents
A comprehensive, beginner-friendly guide to building production-grade AI applications using modern LangChain. Learn to orchestrate LLMs, construct pipelines with LCEL, build stateful agents using LangGraph, switch easily between cloud/local models (OpenAI, Gemini, Groq, Ollama), and trace everything with LangSmith.
Table of Contents
Chapter 1: The Modern LangChain Ecosystem & Multi-Provider Architecture
Chapter 2: Demystifying LCEL & The Runnable Protocol
Chapter 3: Data Flow Control: Passthroughs, Parallels, and Custom Lambdas
Chapter 4: Dynamic Chain Routing & Selection
Chapter 5: Structured Output Generation & JSON Parsing
Chapter 6: Tool Calling, Function Binding, and Custom Execution Loops
Chapter 7: Conversational Memory: State Management with RunnableWithMessageHistory
Chapter 8: RAG the LCEL Way: Document Ingestion, Retrieval, and Generation
Chapter 9: Resilience & Observability: Fallbacks, Retries, and Callbacks
Chapter 10: Advanced Runnables & Production Deployment with LangServe