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VEHICLES
BRAND
- JAPANESE CARS
  - DAIHATSU
  - EUNOS
  - FORD
  - HONDA
  - ISUZU
  - LEXUS
  - MAZDA
  - MITSUBISHI
  - MITSUOKA
  - NISSAN
  - SUBARU
  - SUZUKI
  - TOYOTA
- GERMAN CARS
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TYPE
- mobility
- VENDING
- instruction
- TAXIS
- AMBULANCES
- FIRE ENGINES
- HEARSES
- LIMOUSINES
- COMMERCIAL
CLASS
FUEL
TRUCKS
minitrucks
- DAIHATSU
- HONDA
- MAZDA
- MITSUBISHI
- NISSAN
- SUBARU
- SUZUKI
- DUMP
- CRANE
- CAMPER
- REFRIGERATED
- 4WD
- NEW
BUSES
MOTORHOMES
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- DEALER

Function	Description
`array_value(arg1, ...)`	Create an `ARRAY` containing the argument values.
`array_cross_product(array1, array2)`	Compute the cross product of two arrays of size 3. The array elements can not be `NULL`.
`array_cosine_similarity(array1, array2)`	Compute the cosine similarity between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments.
`array_cosine_distance(array1, array2)`	Compute the cosine distance between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments. This is equivalent to `1.0 - array_cosine_similarity`.
`array_distance(array1, array2)`	Compute the distance between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments.
`array_inner_product(array1, array2)`	Compute the inner product between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments.
`array_negative_inner_product(array1, array2)`	Compute the negative inner product between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments. This is equivalent to `-array_inner_product`.
`array_dot_product(array1, array2)`	Alias for `array_inner_product(array1, array2)`.
`array_negative_dot_product(array1, array2)`	Alias for `array_negative_inner_product(array1, array2)`.

Description	Create an `ARRAY` containing the argument values.
Example	`array_value(1.0::FLOAT, 2.0::FLOAT, 3.0::FLOAT)`
Result	`[1.0, 2.0, 3.0]`

Description	Compute the cross product of two arrays of size 3. The array elements can not be `NULL`.
Example	`array_cross_product(array_value(1.0::FLOAT, 2.0::FLOAT, 3.0::FLOAT), array_value(2.0::FLOAT, 3.0::FLOAT, 4.0::FLOAT))`
Result	`[-1.0, 2.0, -1.0]`

Description	Compute the cosine similarity between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments.
Example	`array_cosine_similarity(array_value(1.0::FLOAT, 2.0::FLOAT, 3.0::FLOAT), array_value(2.0::FLOAT, 3.0::FLOAT, 4.0::FLOAT))`
Result	`0.9925833`

Description	Compute the cosine distance between two arrays of the same size. The array elements can not be `NULL`. The arrays can have any size as long as the size is the same for both arguments. This is equivalent to `1.0 - array_cosine_similarity`.
Example	`array_cosine_distance(array_value(1.0::FLOAT, 2.0::FLOAT, 3.0::FLOAT), array_value(2.0::FLOAT, 3.0::FLOAT, 4.0::FLOAT))`
Result	`0.007416606`

Array-Native Functions

`array_value(arg1, ..)`

`array_cross_product(array1, array2)`

`array_cosine_similarity(array1, array2)`

`array_cosine_distance(array1, array2)`

`array_distance(array1, array2)`

`array_inner_product(array1, array2)`

`array_negative_inner_product(array1, array2)`

`array_dot_product(array1, array2)`

`array_negative_dot_product(array1, array2)`

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