RAG Memory Scope

RAG Memory Scope is a ai state boundary that limits what an assistant may remember or reuse for retrieval-augmented generation pipelines. It uses retention policies, consent checks, and namespace separation so teams can prevent accidental cross-context leakage while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used RAG Memory Scope when the retriever mixed old and new documents, so the team could prevent accidental cross-context leakage before the agent workflow reached production.”