mxbai-embed-large embedding not consistent with original paper about langchain

[jeugregg]

Actually, the issue is that by default langchain add an option : embed_instruction embed_instruction: str = "passage: "
And it kills everything with 'mxbai-embed-large'.
So to pass the test we need to add this when declaring model :

ollama_emb = OllamaEmbeddings(model="mxbai-embed-large", embed_instruction="")

I don't know if it is a good example to be actually accurate.
What do you think that we need to use?
I am going to try :

The mxbai-embed-large blog says to use :

- for embedding docs : embed_instruction = ""
- for query : query_instruction =  "Represent this sentence for searching relevant passages: "

It works well with that.