The representation vector of the 10th text chunk has 358 dimensions

In the second video, minute 7, Anton Troynikov says that the representation vector of the 10th text chunk has dimensions of 358. But when I run
I get 946. Is my understanding of the number of dimensions of a vectorial representation of a text chunk wrong? Shouldn’t it just be the length?

I think there is a mistake in the code you have written.
Try this:

Thank you. I modified my code to this:

arr = np.array(embedding_function(token_split_texts[10]))

and got (946, 384).
I still don’t understand how to interpret this. There are 946 vectors of dimension 384? It still doesn’t make sense that the vector should have a dimension of 358.