Box launches agentic content retrieval feature
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At its developer conference, Box announced Box Content Retrieval, integrating Nvidia's Nemotron embedding system into the core of its product, enabling agents to retrieve documents based on embedded metadata. The feature is aimed at Box Enterprise Advance customers and will begin rolling out early next year. Kari Briski, Nvidia's vice president of generative AI software, claims the solution delivers 4x faster queries, 20% fewer errors, and 90% lower token usage. These performance figures come from Nvidia's claims.
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- TechCrunch · AIBox taps Nvidia’s Nemotron for new agent-first content retrieval system
At its developer conference, Box announced Box Content Retrieval, a feature that builds Nvidia's Nemotron embedding system into its product so agents can answer queries using embedded metadata. Nvidia VP Kari Briski told TechCrunch she expects queries answered four times faster with 20% fewer errors and 90% fewer tokens used, and the feature will roll out to Box's Enterprise Advance customers early next year. Box CEO Aaron Levie said the system sends back the most relevant document chunks instead of having an agent read through each document.
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