Building a LangGraph Multi-Agent System
This post walks through building a complete multi-agent system using LangGraph—from a simple deterministic chain to a fully orchestrated ReAct agent and a modular supervisor-led MAS. It integrates Postgres (via MCP Toolbox), Tavily web search, and custom Python tools to analyze Singapore HDB resale data and nearby amenities. Complete with diagrams, code walkthroughs, and LangSmith Studio deployment, this guide demonstrates how to design practical, production-ready agent workflows using LangChain and LangGraph.
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