← Back to context Comment by fhd2 13 hours ago It's not tool use with natural language search queries? That's what I'd expect. 2 comments fhd2 Reply thunky 10 hours ago It's RAG via tool use, where the storage and retreival method is an implementation detail.I'm not a huge fan of the term RAG though because if you squint almost all tool use could be considered RAG.But if you stick with RAG being a form of "knowledge search" then I think Google search easily fits. kaicianflone 12 hours ago It is tool use with natural language search queries but going down a layer they are searched on a vector DB, very similar to RAG. Essentially Google RankBrain is the very far ancestor to RAG before compute and scaling.
thunky 10 hours ago It's RAG via tool use, where the storage and retreival method is an implementation detail.I'm not a huge fan of the term RAG though because if you squint almost all tool use could be considered RAG.But if you stick with RAG being a form of "knowledge search" then I think Google search easily fits.
kaicianflone 12 hours ago It is tool use with natural language search queries but going down a layer they are searched on a vector DB, very similar to RAG. Essentially Google RankBrain is the very far ancestor to RAG before compute and scaling.
It's RAG via tool use, where the storage and retreival method is an implementation detail.
I'm not a huge fan of the term RAG though because if you squint almost all tool use could be considered RAG.
But if you stick with RAG being a form of "knowledge search" then I think Google search easily fits.
It is tool use with natural language search queries but going down a layer they are searched on a vector DB, very similar to RAG. Essentially Google RankBrain is the very far ancestor to RAG before compute and scaling.