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XQuery vec:vector

MarkLogic 12 Product Documentation
vec.vector

vec.vector(
   values as xs.anyAtomicType
) as vec.vector

Summary

Returns a vector value.

Parameters
values The value(s) to create the vector from. Can be a sequence or json:array of integer or floating-point numbers. Also accepts a string that has the format of a JSON array of Numbers. Also accepts a string that was created by vec.base64Encode().

Example

  vec.vector([3.14, 1.59, 2.65])

  => (A vector value representing the constructed vector)
  "[ 3.14, 1.59, 2.65 ]"

Example

  // string representation
  vec.vector('[3.14, 1.59, 2.65]')

  => A vector value representing the constructed vector
  "[ 3.14, 1.59, 2.65 ]"

Example

  //  There exists a JSON document 'pronethalol.json' in the database
  //    that contains a vector generated by a classifier model.
  //    'pronethalol.json' looks like this:
  //    {
  //       "object": "list",
  //       "data": [
  //       {
  //         "object": "embedding",
  //         "index": 0,
  //         "embedding": [
  //           -0.03508576,
  //           -0.011583557,
  //           ...,
  //           -0.009329922,
  //           0.0031751299,
  //           -0.03169545
  //           ]
  //       }]
  //     }

  vec.vector(fn.head(fn.doc('pronethalol.json')).xpath('/data/array-node("embedding")'));

  => (A vector value representing the vector constructed by a JSON array node)
  "[ -0.0350858, -0.0115836, 0.0111236, -0.0191592, ..., -0.0121749, -0.00932992, 0.00317513, -0.0316955 ]"

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