Dense vector datatype
editDense vector datatype
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
A dense_vector field stores dense vectors of float values.
The maximum number of dimensions that can be in a vector should
not exceed 1024. The number of dimensions can be
different across documents. A dense_vector field is
a single-valued field.
These vectors can be used for document scoring. For example, a document score can represent a distance between a given query vector and the indexed document vector.
You index a dense vector as an array of floats.
PUT my_index
{
"mappings": {
"properties": {
"my_vector": {
"type": "dense_vector"
},
"my_text" : {
"type" : "keyword"
}
}
}
}
PUT my_index/_doc/1
{
"my_text" : "text1",
"my_vector" : [0.5, 10, 6]
}
PUT my_index/_doc/2
{
"my_text" : "text2",
"my_vector" : [-0.5, 10, 10, 4]
}
Internally, each document’s dense vector is encoded as a binary
doc value. Its size in bytes is equal to
4 * NUMBER_OF_DIMENSIONS, where NUMBER_OF_DIMENSIONS -
number of the vector’s dimensions.