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Enterprise & Industryupdated 5 min read

Box taps Nvidia’s AI models to build a rich context layer for autonomous enterprise agents

Box Inc. announced a new partnership with Nvidia Corp. at its BoxWorks 2026 conference, unveiling a retrieval engine called Box Content Retrieval powered by Nvidia’s Nemotron Retriever embedding models. The engine turns unstructured enterprise data into a structured knowledge base, improving search accuracy by 20% and cutting token consumption by up to 90%, which can speed agent response times…

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Key points

  • Box launches Box Content Retrieval engine powered by Nvidia’s Nemotron Retriever models.
  • Search accuracy improved by 20%, token consumption reduced by up to 90%.
  • Nemotron 3 Ultra open‑weight LLM available in Box AI for enterprise customers.

Box added an orchestration tool for multistep agentic workflows and new threat‑detection features that flag rogue agent activity in real time. The Nemotron models and security controls are immediately available to Enterprise Advanced and Shield customers, while the full context retrieval and threat‑detection features are slated for general availability early next year.

Full story from siliconangle.com · by Mike Wheatley · via Search: NVIDIAOpen source ↗

Box taps Nvidia’s AI models to build a rich context layer for autonomous enterprise agents

siliconangle.com · 5 November 2026

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This text was published by siliconangle.com and written by Mike Wheatley. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Coverage and discussion

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Box Inc.Nvidia Corp.Constellation ResearchNemotron RetrieverNemotron 3 UltraAaron LevieHolger MuellerAlan Pelz‑Sharpe

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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