Retrieval Without Residue
Enterprise teams want agents that can read their repositories, wikis and ticket history, but they cannot accept a retrieval layer that quietly copies that data into someone else’s infrastructure. NOVA’s retrieval pipeline is designed so that nothing survives the request that needed it.
Embeddings are generated inside your tenant boundary, indexed in an isolated vector store, and every inference payload is streamed in-memory under Zero Data Retention agreements with upstream model providers.
What Stays Inside Your Boundary
Source documents and code never leave the connected system of record; only scoped, permission-checked chunks are retrieved at query time.
Every retrieved chunk carries its original access controls, so an agent can only cite what the requesting user could already open.
Query logs are signed and written to your audit trail, not ours.
“The safest data is the data a model never had to keep.”
Why It Matters
Private retrieval turns AI from a compliance exception into a tool security teams can approve on day one. It is the foundation every other NOVA capability is built on.
