Topic
LangGraph Multi-Agent Workflows
15 posts on langgraph multi-agent workflows — part of framework tutorials on the n4n AI blog.
Persisting LangGraph state with checkpointers
Learn to persist LangGraph state with checkpointers — from in-memory to Postgres, with runnable code and verification steps.
Multi-agent code review pipeline with LangGraph
Build a production-ready langgraph multi-agent code review pipeline with static analysis, security scanning, and style enforcement agents.
LangGraph streaming and interrupting long-running agents
Learn to implement streaming and human-in-the-loop interrupts in LangGraph agents with runnable code examples for long-running workflows.
Deploying LangGraph apps with LangGraph Cloud
A step-by-step guide to deploying LangGraph applications to LangGraph Cloud, covering project setup, configuration, deployment commands, and verification.
Debugging LangGraph agent loops and infinite cycles
A step-by-step guide to detecting, reproducing, and fixing infinite loops in LangGraph multi-agent workflows with practical code patterns.
LangGraph with Claude 3.5 Sonnet and GPT-4o in one graph
Build a LangGraph workflow that routes tasks between Claude 3.5 Sonnet and GPT-4o based on capability, with runnable code and verification steps.
LangGraph vs LangChain agents: when to use each
A practical comparison of LangGraph and LangChain agents across architecture, control flow, debugging, and production readiness — with a clear verdict for each use case.
LangGraph human-in-the-loop workflows
Build production-ready langgraph human in the loop workflows with interrupt handling, state persistence, and approval patterns that scale.
LangGraph conditional edges: routing between agents
LangGraph conditional edges enable dynamic agent routing based on state — here's how they work, when to use them, and a production-ready example.
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.
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.
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.
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.
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.
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.
More topics in framework tutorials
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- LangChain RAG with Vector Databases15
- LlamaIndex Query Engines for RAG15
- AutoGen Multi-Agent Conversations & Group Chat14
- Choosing an AI Framework by Use Case14
- CrewAI Agent Roles & Task Design14
- CrewAI Real-World Crew Examples14
- Haystack RAG Pipelines14
- LangChain Agents & Tool Calling14
- LangChain Multi-Model Fallback & Routing14
- LangChain.js for Node & TypeScript14
- One Backend, Every Model: Swapping GPT-5, Claude, Gemini & Llama Across Frameworks14