As new model releases support longer and longer context windows, there is a lot of discussion around whether RAG is still relevant.<p>RAG is here to stay for a while:<p>(1) Enterprises have much more data than reasonably will fit in a context window any time soon
(2) Even if you can technically put 1M tokens in, that does not mean the model can effectively use it all
(3) Longer input = higher latency and cost for inference<p>Would love any other thoughts on the topic!