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Editar Pregunta #414
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A company maintains a large product catalog with detailed descriptions. The company wants to build an AI assistant to answer customer questions about the products. However, the company's labeled training data is limited. Which solution will meet these requirements with the LEAST implementation effort?
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RAG with the product catalog requires the least implementation effort because it doesn't require model training or fine-tuning. The product descriptions are retrieved dynamically at query time and provided as context to the FM, allowing accurate product-specific answers without labeled training data.
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