Vector Database, Large Language Models, Llm, Semantic Search, Vector Search.
we do that? I hope you guessed it: “metadata”. We can capture the question_id as a metadata. Let’s see how we can do that. Let’s fast track some of the items # for loading data directly from hugging face from datasets import load_dataset ds = load_dataset('wiki_qa', split='train') # collect only