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Create an architecture for an AI customer support chatbot that can understand and resolve user queries using a knowledge base of FAQs and past interactions. How would you structure the data ingestion process, ensure high-quality embeddings for natural language understanding, and maintain the system's relevancy over time? Discuss model selection, safety protocols to handle sensitive info, and mechanisms for monitoring chat drift.

Key concepts

nlpdialogueretrievalmonitoring

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