Sistemas Multiagente con LangGraph

Resumen

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework. Build AI Agents with LangGraphDesign and build your own agents with LangGraph!

LangGraph is a core part of the LangChain ecosystem, and it's used to build production-ready AI agents with a high degree of customizability. LangGraph allows developers to build agents as graphs with nodes and edges, which allows information flow and decision pathways to be carefully mapped out, and reduces the room for unexpected errors to creep in.Explore Emerging Multi-Agent ArchitecturesSince the rise of AI agents, a handful of agentic design patterns have emerged, and you'll learn about two of the most popular:

network (or decentralized) multi-agents and supervisor multi-agents.

Manage multiple agents effectively by designing a supervisor agent to delegate tasks and encourage collaboration between the worker agents.Create Your Own Agentic AssistantYou'll use LangGraph to build an agentic assistant to gather information and stock performance data on Fortune 500 companies, and analyze it using visualizations!You'll see this agent progress from a simple single-agent system to a three-agent supervisor multi-agent! Join the growing number of AI builders and learn to design and build AI agents today!

Programa

• Agentes como Grafos
¡Aprende a construir agentes de IA al estilo LangGraph! Construye un conjunto de herramientas para ayudar a tu agente a interactuar con APIs, recuperar datos de archivos CSV y ejecutar código Python. Comienza a construir un sistema de agente único utilizando nodos y aristas para conectar el LLM y las herramientas de manera controlada y metódica.
• Multi-Agentes LangGraph
Desde el auge de los agentes de IA, han surgido algunos patrones de diseño agentes, y aprenderás sobre dos de los más populares: multi-agentes enjambre (o descentralizados) y multi-agentes supervisores. Verás que LangGraph proporciona una amplia gama de funcionalidades para diseñar multi-agentes adaptados a tu caso de uso específico.

---

Impartido por

James Chapman

---

Materias

Computer Science