RAG Fallback Path

Automatischer Uebersetzungsentwurf (German) for "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.

“Beispielentwurf: 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.”