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update oversampling defn
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@@ -265,7 +265,7 @@ client.search(
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```
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`oversampling` - Allows you to retrieve more points using quantized vectors and then re-score them using original ones. Default factor is 1.0. For example, if `oversampling` is 2.4 and `limit` is 100, then 240 vectors will be pre-selected using quantized index, and then top-100 will be returned after re-scoring.
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`oversampling` - The default factor is 1.0. For example, if `oversampling` is 2.4 and `limit` is 100, then 240 vectors will be pre-selected using quantized index, and then top-100 will be returned after re-scoring.
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## Quantization tips
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