How LangChain Built an Agent-First Data Stack
LangChain has restructured its data stack to support agent-first self-service, enhancing its ability to handle complex data requests. The new architecture focuses on providing clear models, metric definitions, business context, and trusted sources to agents, enabling them to answer complex questions more effectively. The data team now builds models, context, guardrails, and feedback loops to improve agent performance over time, with the data agent handling 40 times more requests than before.
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