Question

An e-commerce company wants a chatbot that answers customer questions about product specifications, pricing, and stock levels. The product catalog changes several times per day as new items are added and prices are updated. The team wants the chatbot to always reflect the latest catalog data without repeatedly incurring model training costs. Which approach best meets these requirements?

Accepted Answer

Use Retrieval Augmented Generation (RAG) with a knowledge base connected to the product catalog data source

Answer

Fine-tune a foundation model on the current product catalog and retrain it after every catalog change

Answer

Perform continued pre-training on the catalog data once and rely on the model's general knowledge afterward

Answer

Increase the model's temperature so it generates more up-to-date and creative responses