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On November 5, 2026, Box showcased the Box Content Retrieval feature at BoxWorks 2026. According to SiliconANGLE, this retrieval engine is based on the NVIDIA Nemotron Retriever embedding model and converts unstructured enterprise content into a knowledge base that agents can retrieve from; Box says its search accuracy improves by 20%, token consumption is reduced by up to 90%, response speed increases by about 4 times, and it follows native file permissions. Another report also mentioned that Box announced platform updates at the same time, including Box Architect, Box Mount, and Box Shield threat detection, among which Box Mount is coming soon. Currently, this feature is in the showcase stage, and there is no independent fact of subsequent development progress.
AI-generated from public reports
Latest development · Report
Box unveils Box Architect, Context Retrieval, Box… at BoxWorksDevelopments
1 confirmed developments
- Source:SiliconANGLE
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Browse reports and discussion by time. Their evidence levels remain distinct.
Nov 6
Aaron Levie
Box unveils Box Architect, Context Retrieval, Box… at BoxWorks
At BoxWorks, Box announced four platform updates: Box Architect can autonomously build, test, optimize, and run content-centric workflows; Box Context Retrieval, in collaboration with NVIDIA, provides hybrid retrieval and respects Box permissions; Box Mount lets agents directly read and write Box folders within a sandbox; and there are also Box Shield's threat detection and agent security capabilities. Box says internal testing shows Context Retrieval improves accuracy by 20%, token efficiency by 90%, and response speed by 4x. Box Mount is coming soon and will integrate with sandbox services including NVIDIA OpenShell, DigitalOcean, as well as Daytona, E2B, AWS, and Docker, while MCP support expands to platforms such as ChatGPT, Copilot, Claude, Grok, Gemini, and Cursor.
Aaron Levie
Box Launches Box Architect and Box Context Retrieval in Collaboration with NVIDIA
At BoxWorks, Box launched Box Architect, which can autonomously build, test, optimize, and run content workflows, while also updating Box Agent, Box Automate, Extract, and Box Apps. Box Context Retrieval, launched in collaboration with NVIDIA, combines keyword and semantic hybrid search and respects Box permissions; internal testing showed a 20% improvement in accuracy, a 90% improvement in token efficiency, and a 4x increase in response speed. Box also strengthened Box Shield, adding threat detection and agent security capabilities that can identify anomalous downloads, sessions, and agent activity and trigger responses such as download restrictions and secondary verification.
Nov 5
SiliconANGLE
Box Teams Up with NVIDIA to Launch Content Retrieval Engine, Providing Context for Enterprise Agents
At BoxWorks 2026, Box released the Box Content Retrieval engine based on NVIDIA Nemotron Retriever embedding models, turning unstructured enterprise content into a knowledge base that agents can search. Box claims the engine improves search accuracy by 20%, reduces token consumption by up to 90%, and increases response speed by about 4x, while honoring files' native permissions. Box also launched Box Architect, which builds agent workflows using natural language (beta later this year), as well as a threat detection tool that identifies in real time behaviors such as runaway agents mass-exfiltrating data or deleting files.
TechCrunch AI
Box Adopts Nvidia Nemotron to Build an Agent-First Content Retrieval System
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 document fragments based on embedded metadata. Kari Briski, Nvidia's Vice President of Generative AI Software, expects a 4x increase in query speed, a 20% reduction in errors, and a 90% reduction in token usage. The feature is aimed at Box Enterprise Advance customers and will begin rolling out early next year.
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