This is exactly what https://www.perplexity.ai/ is trying to do. Maybe not "RAGing" the entire internet, but sure using the mapping between natural language query to their own (probably) vector database which contains "source of truth" from the internet.
The way how they build that database and what models they use for text tokenization, embeddings generation and ranking at "internet" scale is the secret sauce that enabled them to raise more than $165M to date.
For sure this is where the internet search will be in a couple of years and that's why Google got really concerned when original ChatGPT was released. That said, don't assume Google is not already working on something similar. In fact, the main theme of their Google Next conference was about LLMs and RAG.
The way how they build that database and what models they use for text tokenization, embeddings generation and ranking at "internet" scale is the secret sauce that enabled them to raise more than $165M to date.
For sure this is where the internet search will be in a couple of years and that's why Google got really concerned when original ChatGPT was released. That said, don't assume Google is not already working on something similar. In fact, the main theme of their Google Next conference was about LLMs and RAG.