RAG Fallback Path

RAG Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for retrieval-augmented generation pipelines. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used RAG Fallback Path when the retriever mixed old and new documents, so the team could avoid fake AI success before the agent workflow reached production.”