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.