A company receives documents in several languages and needs semantic retrieval across them. Which embedding-model selection criterion matters most?

1. Validate multilingual retrieval quality on representative query-document pairs.
2. Use a model trained only to predict image rotation without evaluating text.
3. Require all vectors to contain only positive integers.
4. Select the model with the longest product name.