Practical Guide to Multi-Agent Systems with LangGraph

The video explores the architecture of multi-agent systems through a specific use case: competitor research. The workflow involves three distinct agents—one gathering product and pricing data, a second comparing it, and a third verifying findings against original sources. A coordinator agent manages the handoffs between these specialized roles using LangGraph. While this structure aims to improve accuracy, the analysis notes that verification steps can still miss errors and that for simpler tasks, a single-agent approach may be more efficient and cost-effective.