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Design enterprise RAG search system

OpenAIMachine Learning Engineer · Technical Screen
HardMachine Learning EngineerTechnical ScreenML System Design

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This interview question evaluates ML product requirements, data/labeling, modeling, serving architecture, evaluation, monitoring, and trade-offs in a realistic interview setting. A strong answer for Design enterprise RAG search system states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Question

Design an end-to-end Retrieval-Augmented Generation (RAG) search system for enterprise users, covering architecture, data ingestion, retriever and generator selection, indexing, latency, security, and scalability.