This!
Since we use Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval for our vector indexing, using vector with large dimensions is supported and welcome.
You should always configure the Embeddings with their native dimensionality, unless you check the matryoshka_dimensions option.