RAG is to me just a glued-up solution to try counter the obvious limitations of LLMs that they essentially find the next token in a very convincing fashion. i

RAG is to me just a glued-up solution to try counter the obvious limitations of LLMs that they essentially find the next token in a very convincing fashion. i am sure there can be newer ways to do prompt injection in an elegant way, but for the most part the llm is either summarizing the injected prompt or regurgitating it. if the output is satisfactory, it is still more convenient than writing custom rules for answers for each kind of question you want to address.