INCORPORATING APPROXIMATE NEAREST NEIGHBOR SEARCH AS IMPLICIT EDGE IN KNOWLEDGE GRAPH
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United States of America
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Issued Date -
Dec 26, 2024
app pub date -
Jun 22, 2023
filing date -
Jun 22, 2023
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Abstract
Systems and methods are directed to incorporating approximate nearest neighbor search as implicit edges in a knowledge graph. The system generates an approximate nearest neighbor (ANN) index that indexes entities by their embeddings. The system models a knowledge graph by including the embeddings as nodes in the knowledge graph. Based on a search query, the system performs a search of the knowledge graph to obtain results, whereby performing the search includes traversing one or more implicit edges from a node of an embedding in the knowledge graph to one or more related nodes in semantic vector space based on the ANN index. The results are then presented on the device of the user.
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