An ensemble retriever is a collection of individual retrievers in AI Models (formerly Einstein Studio) that searches several Data 360 sources in one request. It exists so a prompt or agent can still get one ranked set of facts when the useful information lives across multiple searches or data sources. When it runs, it executes every member retriever, merges their results, reranks that combined list by relevance to the search request, and returns only the most relevant information.