Retrieval-Augmented Generation
An AI architecture that combines document retrieval with language model generation, pulling relevant context from a knowledge base before generating respon
Definition
An AI architecture that combines document retrieval with language model generation, pulling relevant context from a knowledge base before generating responses.
Why It Matters for AI Governance
RAG systems introduce unique governance challenges because retrieved documents may contain personal data that gets injected into prompts. Document-level access controls and PII-aware retrieval filtering are essential for compliant RAG deployments.
How CrewCheck Handles This
CrewCheck's LLM gateway applies retrieval-augmented generation-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that retrieval-augmented generation is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into retrieval-augmented generation events, with drill-down capabilities for compliance officers and exportable evidence for auditors.