LangChain & LangGraph

9 pages in this section.

The LangGraph Mental Model: Agents as State Graphs

Understand LangGraph's state graph model for agents, where nodes read/write shared state. Learn how explicit graphs enable inspectable, testable, and durable control flow

Python Langchain Langgraph Explainer Langgraph

LangChain & LangGraph Basics

Learn LangChain and LangGraph basics with 8 examples. Define state, wire nodes, add conditional edges, compile, invoke, and stream updates.

Python Langchain Langgraph Basics Langchain

Building Your First Stateful Agent Graph

Build your first stateful LangGraph agent. Define nodes, edges, and shared state to create a research-style loop that plans, acts, and decides when to stop.

Python Langchain Langgraph Building Your

Branching and Conditional Edges for Multi-Path Agents

Route execution down different graph paths based on state. Learn to implement conditional edges, register destination nodes, and unit-test routers.

Python Langchain Langgraph Branching Conditional

Human-in-the-Loop Approval Nodes in LangGraph

Python Langchain Langgraph Advanced Human

Persistence and Checkpoints: Resuming a LangGraph Agent Mid-Run

Python Langchain Langgraph Advanced Persistence

LangGraph 1.0's Per-Node Timeouts and v2 Streaming

Python Langchain Langgraph Advanced Langgraph

Observability with LangSmith for LangGraph Agents

Trace LangGraph agent runs with LangSmith to debug node execution, model outputs, and state changes. Learn to configure tracing and analyze runs.