Thanks! Yeah, I understand what is embedding but was not clear how the tokens are actually used. You said "ada" is in use by default, even if I specify another one like in this code?:
llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="text-davinci-003",
openai_api_key=openai_api_key))
service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor)
index = GPTQdrantIndex.from_documents([document],
client=get_qrant_client(),
collection_name=project_id.hex,
service_context=service_context)