The easiest way that works well in practice is to just concatenate them. You can also normalize them first separately before concatenation. If one dimension is significantly different, you can just concatenate the other one multiple times to weight them similarly, or use a dimensionality reduction beforehand.

Another way is to just calculate two similarities separately and then average them (or weighted average).

You can take a look at this kaggle competition's solutions for inspiration: https://www.kaggle.com/competitions/shopee-product-matching/discussion