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VECTOR_AVG¶
Computes the element-wise average of vectors in an aggregate. Returns a vector where each element is the average of the corresponding elements across all input vectors. The output is always VECTOR(FLOAT, N) regardless of input type.
- See also:
VECTOR_SUM , VECTOR_MIN , VECTOR_MAX , AVG, Vector Embeddings
Syntax¶
Arguments¶
vector_columnA column containing VECTOR values. All vectors in the column must have the same element type and dimension.
Returns¶
Returns a VECTOR(FLOAT, N) value where N is the dimension of the input vectors. Each element in the result vector is the average of the corresponding elements across all input vectors.
Usage notes¶
NULL values are ignored in the aggregation.
If all values in the group are NULL, the function returns NULL.
All input vectors in the column must have the same dimension and element type.
The output is always VECTOR(FLOAT, N) regardless of the input’s type. For information on floating-point numbers in Snowflake, see Floating-point data types.
Vector functions are optimized in a way that can reduce floating point precision. This function’s results have a margin of error up to
1e-4.
Examples¶
This example demonstrates computing the element-wise average of vectors:
This example shows scalar aggregation (no GROUP BY):
This example shows how integer vectors are converted to float output: