← Back to context Comment by thunky 10 hours ago Gemini with Google search is RAG using all public data, and it isn't broken. 3 comments thunky Reply fhd2 10 hours ago It's not tool use with natural language search queries? That's what I'd expect. thunky 8 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 10 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.
fhd2 10 hours ago It's not tool use with natural language search queries? That's what I'd expect. thunky 8 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 10 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 8 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 10 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 not tool use with natural language search queries? That's what I'd expect.
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.