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Updated readme [skip ci]

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Andrew Kane
2024-01-09 14:19:01 -08:00
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README.md
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@@ -166,7 +166,7 @@ Supported index types are:
## HNSW
An HNSW index creates a multilayer graph. It has slower build times and uses more memory than IVFFlat, but has better query performance (in terms of speed-recall tradeoff). There’s no training step like IVFFlat, so the index can be created without any data in the table.
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.
Add an index for each distance function you want to use.