Private RAG
Retrieval-augmented generation over enterprise-controlled data, storage, and embeddings.
What is Private RAG?
Private RAG differs from cloud RAG in three ways: where the embeddings live, who controls retrieval policy, and whether retrieval is audited as part of the AI platform. See the Private RAG pillar and Private RAG vs Enterprise Search.
Why it matters for on-premise & regulated AI
RAG is where your most sensitive data — contracts, patient records, source code — meets the model. Private RAG keeps embeddings, the vector index, and retrieval inside your boundary, and adds permission-aware retrieval so an agent can only surface passages its requesting user is authorised to see. Cloud RAG services replicate your documents into someone else’s infrastructure; private RAG makes that replication unnecessary.
Read the full guide: Private RAG — in-depth article →
Related terms
Putting Private RAG to work?
VDF AI runs governed AI agents on your own infrastructure — on-premises, sovereign cloud, or air-gapped. Book a working session to map the architecture.
Talk to VDF AI