Your files, answered — what RAG in a Box does

Every company sits on a corpus of documents that nobody can actually search: policies, SOPs, contracts, tickets, manuals, leases. RAG in a Box turns that corpus into an assistant that answers from your files — and, critically, it is an assistant that shows its work.

Every answer cites the source document and section it came from, so "the model said so" is never the end of the conversation. Your staff can open the page, verify the clause, and move on — or flag the answer if it is wrong. For law firms and compliance teams, that citation habit is the difference between a toy and a tool.

Access works the way your documents already work. Permissions are respected — HR files stay HR-only, client files stay with the team that owns them — and a full audit log records who asked what, exportable when your auditor or counsel asks for it. The whole stack runs on a small in-house server or a VM on your existing hypervisor, with outbound model calls blocked and documented: zero egress, verifiable.

You do not have to take our word for it — there is a live demo right now at gngglobetech.com/demos.html#rag, running the same open-source stack we deploy in production.

The full technical breakdown — chunking and embedding strategy, the vector store, permission mapping, log format, and how ingestion maintenance actually works — is too long for a teaser. Subscribers get the complete guide in our newsletter. Subscribe below and it will be waiting in your inbox.