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How Box AI built enterprise content agents with Deep Agents for secure document analysis

Box AI built the Box Agent on Deep Agents to enable enterprise-scale content analysis. The system evolved from single-file Q&A to searching across entire content libraries, synthesizing findings across thousands of documents, and producing reports—all while maintaining Box's existing security and permissions model. The platform uses RAG-based Knowledge Hubs and supports model flexibility for enterprise customers.

Sofia SulikowskiJune 12, 20266min26d ago6 min readenInsight
Read on blog.langchain.dev

Key quotes

The Box Agent, part of Box AI, is built on Deep Agents to search across an enterprise's content library, synthesize findings across thousands of documents, and produce reports and analysis, all while respecting Box's existing security and permissions model.
The first iteration of the Box Agent allowed users to ask questions within a single document.
From there, the team introduced Knowledge Hubs, a RAG-based approach to scale content understanding.

From the article

See how Box built Box Agent on Deep Agents to search, analyze, and synthesize enterprise content while preserving security, permissions, and model flexibility.
Continue reading on blog.langchain.dev

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