RAG vs Long-Context LLMs: Why Bigger Context Windows Do Not Solve Retrieval
中文摘要
即使大模型能处理百万级 token，增加上下文窗口也无法解决检索问题，RAG 依然不可或缺。
English Summary
Increasing LLM context windows does not solve retrieval issues, meaning RAG remains essential even as models handle millions of tokens.
Original Excerpt
Large Language Models can now process hundreds of thousands, and sometimes even millions, of tokens. Continue reading on Medium »