"RAG is dead" was declared because of ever expanding context windows.

However, resources consumed expand so much with context that I think there is a huge practical barrier there. In the beginning AI services were basically free so nobody cared but this is rapidly shrinking.

Personally I see more in a combination of RAG and live querying during the thinking process (e.g. by tools).

Also I don't think dumping any context that might be relevant into the model really helps accuracy. In my experience models just get lost when they get an overload of irrelevant stuff in their context and start overlooking the relevant parts even if it does fit the window.