Question

A retail company wants a generative AI application that lets customer support agents upload a photo of a damaged product and receive a plain-language description of the visible damage, which is then combined with the customer's typed complaint to draft a suggested resolution email. The engineering team must translate this business requirement into an application design. Which design approach best satisfies the requirement?

Accepted Answer

Use a multimodal (vision-capable) model to generate the damage description from the image, then pass that description plus the typed complaint to an LLM step that drafts the resolution email

Answer

Use a single text-only LLM and instruct agents to manually describe the photo in words before submitting the prompt

Answer

Build a RAG pipeline that retrieves similar past product images from a vector index and returns the most visually similar prior resolution email verbatim

Answer

Fine-tune a text embedding model on complaint text so it can classify damage severity directly from the uploaded image bytes