How Exa built a Web Research Multi-Agent System with LangGraph and LangSmith
This case study explores how Exa's engineering team leveraged LangGraph to build a production-ready multi-agent system that processes hundreds of research queries daily, delivering structured results in 15 seconds to 3 minutes, depending on complexity. Related content Case Studies How Workday Built an Enterprise-Scale AI Agent Platform with LangGraph and LangSmith Sofia Sulikowski November 10, 2026 4 min Agent Architecture Open Source Agents Are Going Async Sydney Runkle Thushanth Bengre November 5, 2026 5 min Deep Agents Agent Architecture How We Optimized Browser Use for Deep Agents Sydney Runkle November 3, 2026 10 min Thank you!
- Agent or tool
- LangChain
- Topic
- Software Development
- Reported on
- Blog (LangChain)
- Added
- 2026-11-11
Why it matters
Coding agents are moving from autocomplete to doing whole tasks: reading a codebase, making a plan and changing many files. This case is a concrete example of where that works in practice. It is one of 221 sightings filed under Software Development on Agent Sightings (number 78 by interest), and one of 25 involving LangChain.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into LangChain or any similar agent and adjust the details to your situation.
I want a coding agent to plan first, work on a branch, and show me the diff before anything is merged. The tool in the source case was LangChain.
Tip: Work on a fresh branch, ask for a plan before edits, and review the diff and test results before merging.
Source
Read the original first-hand account on Blog (LangChain): https://langchain.com/blog/exa. Our summary is a paraphrase; details are in the source.
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