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Does Qdrant use any form of Graph Neural Networks, say we encapsulate the vector as a node, the edge proportional to the similarity of the nodes, we can do node, link and graph predictions?
So for any new vector, we can predict where it belongs, and then use traditional methods to return the most similar?
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Does Qdrant use any form of Graph Neural Networks, say we encapsulate the vector as a node, the edge proportional to the similarity of the nodes, we can do node, link and graph predictions?
So for any new vector, we can predict where it belongs, and then use traditional methods to return the most similar?
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