Give every AI agent the right context
Retrieval without the RAG rebuild
Custom RAG pipelines and external vector databases are complex to build, slow to maintain, and hard to govern. Box Context Retrieval automatically creates and maintains a secure, permissions-aware index over your content in Box. Your agents and apps get focused, relevant context. You get one less retrieval stack to manage.
Give agents focus, not files
Why process a whole document to answer one question? With Box APIs and the MCP server, you direct AI to rank and group passages by source file so agents get focused context. Models stay on track and you use tokens efficiently.
Search on your terms
Hybrid search pairs lexical keyword matching with semantic search, powered by NVIDIA Nemotron embedding models. Search by a project code, or ask a question in your own words. Either way, find the right content, even when your language doesn’t match your document.
Developer Ecosystem
Integrate Context Retrieval effortlessly into your AI stack. Use our Model Context Protocol (MCP) server or standard Box REST APIs to plug Box enterprise context directly into frameworks like LangChain, LlamaIndex, and Semantic Kernel. Build custom copilots, workflows, and multi-agent systems without re-architecting your data pipelines.
Security without the sync
Every query checks a requester’s live Box permissions, so people and agents only see content they’re allowed to access (even when apps share the same index). Retrieval reflects access changes in Box, so there’s no need to sync external access lists.
Power agents across every industry
Legal
Search leases, agreements, and NDAs, including scanned PDFs, and go straight to the clauses you need. Restrict matter access to authorized users.
Financial services
Point agents to approved policies, filings, and reports, not outdated drafts. Results link back to sources, and permissions keep sensitive data protected.
Life sciences
Search SOPs, study documents, and regulatory submissions by meaning, not just keywords. Make scanned records and recordings searchable.