As new model releases support longer and longer context windows, there is a lot of discussion around whether RAG is still relevant. RAG is here to stay for a w

As new model releases support longer and longer context windows, there is a lot of discussion around whether RAG is still relevant. RAG is here to stay for a while: (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 Would love any other thoughts on the topic!