AI Grounded in Your Own Data
Retrieval-augmented generation connects the latest AI models to your own knowledge base, so answers are based on your documents, policies, and records. Run a Compliance AI built on RAG entirely inside your network, with the same guardrails as every other model in the portal.
Answers Built on Your Knowledge
RAG models retrieve the right internal content first, then let the AI answer from it, so responses reflect your reality instead of the open internet.
Connect Your Own Documents
Point RAG models at your policies, manuals, and records so the AI answers from your authoritative content, not generic training data.
Fewer Hallucinations, More Citations
Grounding answers in retrieved source material keeps responses accurate and traceable back to the document they came from.
Your Data Stays in Your Network
RAG models run inside your Microsoft Azure tenant. The knowledge base and every query stay within your secure network.
A Purpose-Built Internal Model
Offer a Compliance AI (RAG) model alongside ChatGPT, Claude, and Copilot, tuned to your internal compliance content from day one.
Configure Without a New Pilot
The multi-model architecture lets you stand up and adjust custom and RAG models without spinning up a separate pilot for each one.
Excluded From Model Training
The content you retrieve over and the prompts you send are excluded from model training across all AI providers.
How a RAG Model Works in the Portal
The same secure path as every other assistant, with your knowledge base added in front of the model.
Your documents are indexed inside your Azure tenant, never copied to a third-party service.
Each question retrieves the most relevant internal content before the model responds.
DLP filtering and redaction still apply, so sensitive data is protected end to end.
Per-assistant access control decides who can query which RAG model.
Every RAG interaction is logged and risk-scored like any other prompt.
