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Multi-Agent Systems with LangGraph

Building a 3-agent research assistant that searches, synthesizes, and reports.

Umesh
15 min read

Multi-agent architectures let you split work into specialized roles: a retriever, a reasoner, and a writer. In this article I prototype a 3-agent pipeline using LangGraph-style wiring and show how to coordinate context windows and failure modes.

We walk through example prompts, the messaging contract between agents, and how to debug emergent behaviors. I also show how to persist intermediate artifacts for auditability and replay.

Finally, I cover evaluation: metrics for factuality, latency, and cost per answer, and a small harness to A/B different orchestration strategies.

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About Umesh

Building the future of AI-powered applications. Specializing in RAG systems, multi-agent architectures, computer vision, and high-performance web platforms.

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