Get embedding vectors when calling get_relevant_documents via VectorRetrievers

[lfoppiano]

I'm wondering if there is a way to get the embedding vectors (maybe via document metadata?) when requesting get_relevant_documents via the vector retriever.

Something like:

        retriever = db.as_retriever(search_kwargs={"k": context_size})
        relevant_documents = retriever.get_relevant_documents(query, include=["embeddings"])