From 265165227fa6545c530b88fc959a39a110cd17ad Mon Sep 17 00:00:00 2001 From: Naveen Tatikonda Date: Wed, 24 Jul 2024 15:11:24 -0500 Subject: [PATCH] Address Review Comments Signed-off-by: Naveen Tatikonda --- _search-plugins/knn/knn-vector-quantization.md | 1 - 1 file changed, 1 deletion(-) diff --git a/_search-plugins/knn/knn-vector-quantization.md b/_search-plugins/knn/knn-vector-quantization.md index 8cc48f58d17..51559cc7cf8 100644 --- a/_search-plugins/knn/knn-vector-quantization.md +++ b/_search-plugins/knn/knn-vector-quantization.md @@ -61,7 +61,6 @@ PUT /test-index {% include copy-curl.html %} Optionally, you can specify the parameters in `method.parameters.encoder` shown below: -* `bits` - Determines the size of the quantized vector after quantizing the input float vectors. For instance, 7 bits will quantize input float vectors into 7-bit integer vectors. As of OpenSearch 2.16, only `7` bits are supported. Default value is `7`. * `confidence_interval` - used to compute the `minQuantile` and `maxQuantile` parameters which are used to quantize the vectors. The accepted values are: - It can be any value between and including `0.9` to `1.0`. For example, if we set it to `0.9` then it will consider the middle 90% of the vector values for computing the min and max Quantiles excluding the minimum and maximum 5% of the values. - It can be also set to `0`. It is the dynamic confidence interval which will dynamically compute the min and max quantiles with some oversampling and additional computation of input data (unlike the above one which will statically compute using the provided confidence interval).