n4nAI

Topic

LangGraph Multi-Agent Workflows

6 posts on langgraph multi-agent workflows — part of framework tutorials on the n4n AI blog.

Framework tutorialsHow-to

Multi-agent research assistant using LangGraph and n4n.ai

Build a langgraph n4n.ai multi-agent research assistant with LangGraph: step-by-step setup, runnable code, and verification for engineers shipping LLM systems.

3 min read
Framework tutorialsGuide

LangGraph supervisor pattern: coordinating multiple agents

Practical guide to the LangGraph supervisor pattern for multi-agent systems: architecture, code, pitfalls, and tradeoffs for production orchestration.

3 min read
Framework tutorialsDefinition

LangGraph state machines explained with a code example

A precise LangGraph state machine explained: how graph-based agent orchestration works, with a runnable Python example and common pitfalls to avoid.

4 min read
Framework tutorialsHow-to

Building a hierarchical agent team in LangGraph

Learn how to build a LangGraph hierarchical agent team with a supervisor and worker agents. Step-by-step code for orchestrating multi-agent workflows.

2 min read
Framework tutorialsHow-to

Building a customer support graph with LangGraph

Build a langgraph customer support agent with stateful routing, retrieval, and escalation. Step-by-step Python code for a production-ready support workflow.

3 min read
Framework tutorialsHow-to

Build a multi-agent workflow with LangGraph

A practical langgraph multi-agent workflow tutorial: build a supervisor-routed system of specialized agents with LangGraph, from setup to verified run.

3 min read