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[skip ci] update schema doc (#8356) 

Signed-off-by: tumao <yan.wang@zilliz.com>
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Tumao 2021-09-23 16:44:33 +08:00 committed by GitHub
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docs/developer_guides/chap02_schema.md
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@ -65,7 +65,7 @@ To learn how to choose an appropriate index for your application scenarios, plea
To learn how to choose an appropriate index for a metric, see [Distance Metrics](https://www.milvus.io/docs/v2.0.0/metric.md).
Different index types use different index params in construction and query. All index params are represented by the structure of map. This doc shows the map code in python.
Different index type uses different index params in construction and query. All index params are represented by the structure of map. This doc shows the map code in python.
@ -84,7 +84,7 @@ Different index types use different index params in construction and query. All
## IVF_FLAT
**IVF** (*Inverted File*) is an index type based on quantization. It divides the points in space into `nlist` units by the clustering method. During searching vectors, it compares the distances between the target vector and the center of all the units, and then selects the `nprobe` nearest unit. Then, it compares all the vectors in these selected cells to get the final result.
**IVF** (*Inverted File*) is an index type based on quantization. It divides the points in space into `nlist` units by the clustering method. During searching vectors, it compares the distances between the target vector and the center of all the units, and then selects the `nprobe` nearest unit. Afterwards, it compares all the vectors in these selected cells to get the final result.
IVF_FLAT is the most basic IVF index, and the encoded data stored in each unit is consistent with the original data.