If you want to get knowledge from KB within 10 seconds, then traditional RAG (embedding+vector based) is still the most efficient way -- maybe more in consumer facing search / chat area.

If you want to get most precise and useful information from KB in minutes, then Agentic RAG is the key.

Classic RAG (using vector database) is over. With the most modern frontier models offering 1 million or more tokens for the context window, we should change our approach to knowledge organization.