System Design · Microsoft · Hard
Design an end-to-end retrieval-augmented generation (RAG) question-answering system for an organization’s internal knowledge base. The system receives questions in natural language and must return answers that are explicitly supported by retrieved source material, with citations to the underlying documents. The document collection is not static: documents can be added, modified, or removed while the system is running. Some questions cannot be answered by a single retrieval…
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