← Databricks Certified Generative AI Engineer Associate - 340 Questions

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A company wants to build a customer support chatbot that answers questions using its internal product documentation. The documentation is updated weekly and contains thousands of pages. Which approach is best suited for this use case?

Use Retrieval-Augmented Generation (RAG) to index the documentation and retrieve relevant chunks at query time Fine-tune a foundation model on the entire product documentation corpus each week Include all documentation directly in the system prompt using prompt engineering Train a new language model from scratch on the proprietary documentation

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