Box integrates Nvidia’s Nemotron for faster content retrieval system

The new Box Content Retrieval feature builds Nvidia's embedding models into the platform's core to make AI agent queries quicker and cheaper Box wants AI agents to stop rummaging through your company’s files like a raccoon in a dumpster. At its developer conference on Thursday, the cloud content company unveiled a feature that builds Nvidia’s Nemotron embedding system directly into the heart of its product. The feature is called Box Content Retrieval. Its pitch is simple: AI queries that are faster, more accurate and less expensive. What Box actually announced The launch took place at the BoxWorks 2026 Developer Summit on November 5, 2026. Box CEO Aaron Levie and Nvidia CEO Jensen Huang presented the feature during the opening keynote. The engine underneath is Nvidia’s Nemotron family. Specifically, Box is tapping the Nemotron 3.5 Retriever models, which Nvidia released in October 2026. Those models come in three flavors: Embed, Rerank and Parse. Each handles a different step in the job of finding the right information inside a pile of documents. Box Content Retrieval uses Nemotron to generate metadata that gets embedded alongside the content stored in Box. AI agents then lean on t...