It really depends on what you mean by RAG. If you take the acronym at face value yeah.

However, RAG has been used as a stand in for a specific design pattern where you retrieve data at the start of a conversation or request and then inject that into the request. This simple pattern has benefits compared to just using sending a prompt by itself.

The point the author is trying to make is that this pattern kind of sucks compared to Agentic Search, where instead of shoving a bunch of extra context in at the start you give the model the ability to pull context in as needed. By switching from a "push" to a "pull" pattern, we allow the model to augment and clarify the queries it's making as it goes through a task which in turn gives the model better data to work with (and thus better results).