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I have a RAG built on 10000+ docs knowledge base. On vector store, of course (Qdrant - hybrid search). It work smoothly and quite reliable.

I wonder how this "vectorless" engine would deal with this. Simply, I can't see this tech scalable.

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A good thing about tree representation compared to a 'list' representation is that you can search hierarchically, layer by layer, in a large tree. For example, AlphaGo performs search in a large tree. Since the scale of retrieval is smaller than that of the Go game, I guess this framework can scale very well.

A proof/real-world example would be needed to validate your claim(s).

I think the technology is promising but I don't believe in all those "advantages" that they advertise on the website.

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