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Updated readme [skip ci]
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@@ -166,7 +166,7 @@ Supported index types are:
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## HNSW
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An HNSW index creates a multilayer graph. It has better query performance than IVFFlat (in terms of speed-recall tradeoff), but slower build times and uses more memory. There’s no training step like IVFFlat, so the index can be created without any data in the table.
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An HNSW index creates a multilayer graph. It has better query performance than IVFFlat (in terms of speed-recall tradeoff), but has slower build times and uses more memory. There’s no training step like IVFFlat, so the index can be created without any data in the table.
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Add an index for each distance function you want to use.
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