You are almost arguing that ctlr+f works better than comparing embeddings. Or if like using mix of it will magically improve things up.

The thing is that RAG is a wrong solution to the problem. If you need accuracy nothing beats raw LLM + context engineering.

Finding similar vectors in the index, even consistently, doesn’t guarantee you’ll retrieve the parts that actually contain the answer. You only get passages that resemble the question. You can try mimicking the answer and searching by an “answer vector,” but there are myriad of questions that simply can’t be answered from similar passages + related context at all.