Any way to find out how many documents I

You can define all this in the metadata if you want.

document.metadata['llm_used'] = LLM name

also to check on how many nodes in your index, you can do print(len(index.docstore.docs))

I upgraded to 0.10 and started using "text-mbedding-3-large", tried it out using the new settings thing using:
Settings.embed_model = OpenAIEmbedding(model="text-embedding-3-large", embed_batch_size=10)
But under OpenAI usage, I only see ada usage, it's been at least 3 hours now. Does it normally take such long time to update it or might there be a bug with it?

By the way - thanks for the answer 🙏

Check the embed_model info: print(Settings.embed_model)
It should reflect the new model name, You can check this using a py script ( Just to be sure that the model is not being replaced under the hood )

Create a py script , interact with openai embedding directly and then check if they are showing new model nam eor not

Sorry to check in again, that is a really helpful thing actually for later evaluation with multiple indexes. One question however -
"You can define all this in the metadata if you want.

document.metadata['llm_used'] = LLM name"

Can I do that for the
vector_index = load_index_from_storage(storage_context)

So that I can do vector_index.metadata instead of the document.metadata?

To specify, can I find out the embedding model used to create the vector_index after it is created? ("or how to save the LLM_NAME in the vector_index when creating it?")