AI agent for a warehouse in Jmix. Part 1
Summary
This article explains how to build an AI warehouse agent in Jmix using Spring AI. It walks through an agent loop, tool calling, prompt design, and the use of Jmix DataManager for secure access to warehouse data. It also shows how to expose the agent through a UI and connect it to an Ollama model for local inference. The example demonstrates stock lookup, warehouse search, and out-of-stock queries, making the workflow practical for enterprise software teams.
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Ollama
$1M to $5M