Paper introducing FANNG, a fast algorithm for constructing approximate nearest neighbor graphs. The method builds graphs that enable efficient nearest neighbor queries while maintaining high quality approximations.
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FANNG — Fast Approximate Nearest Neighbour Graphs
FANNG presents algorithms for fast construction of approximate nearest neighbor graphs, improving the efficiency of both index building and query time for graph-based search.
FANNG contributed to the development of more efficient graph construction algorithms that became important building blocks for graph-based vector search systems.
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