It's not that the context window is adequate, but rather an agentic LLM can search the source of truth using appropriate tools (SQL, term search, etc.)

RAG made sense when the semantic search was based on human input and happening as a workflow step before populating context. Now it happens inside the agentic loop and the LLM already implicitly has the semantics of the user input.