This is like semantic version of B+ trees.

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Yeah, I strongly agree. I also found in AI coding tools, tree search has replaced vector search. I’m wondering if in generic RAG systems, tree search will replace vector databases?

Tree search hasn't replaced vector search, you can use them synergistically, it's just that vector search is "fiddly" as you have to set up a bunch of stuff to index your repos, manage embeddings, etc and it can use a lot of disk space if you don't use graph representations for your embeddings like LEANN.

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