Hi folks, a quick question I'm struggling to answer through my own research and attempts at reading the docs. I have some code (please forgive the lack of formatting, I'm on my phone)...
def get_query_engine(docs): index=VectorStoreIndex.from_documents(docs, show_progress=True) return index.as_query_engine(similarity_top_k=5, response_mode='compact') It works just fine, but I would like to retrieve/get the arrays/lists of embeddings from the index variable. The doc is chunked up and there are embeddings in there but I can't seem to find the syntax to access them. I can run the embeddings myself no problem but I'm using LlamaIndex now and can't seem to access them. Thanks in advance.
Ideally yes, I have some code that plots them. I can easily do this if I manage my own embeddings but can't seem to find out how to retrieve the embeddings through the VectorStoreIndex.
