This is not an embedding model though. Yes you can always extract some embeddings from somewhere, but for most LLMs those won't perform well for retrieval (which makes sense as it's not what the models are optimizing for)
This isn't an embedding model, but it is a group of people working in this general area in a language other than English. Maybe they'll get to an embedding model next?
