Sparse vector field typeedit
A sparse_vector field can index features and weights so that they can later be used to query
documents in queries with a text_expansion query.
sparse_vector is the field type that should be used with ELSER mappings.
response = client.indices.create(
index: 'my-index',
body: {
mappings: {
properties: {
'text.tokens' => {
type: 'sparse_vector'
}
}
}
}
)
puts response
PUT my-index
{
"mappings": {
"properties": {
"text.tokens": {
"type": "sparse_vector"
}
}
}
}
See semantic search with ELSER for a complete example on adding documents
to a sparse_vector mapped field using ELSER.
sparse_vector fields can not be included in indices that were created on Elasticsearch versions between 8.0 and 8.10
sparse_vector fields only support single-valued fields and strictly positive
values. Multi-valued fields and negative values will be rejected.
sparse_vector fields do not support querying, sorting or aggregating. They may
only be used within text_expansion queries.
sparse_vector fields only preserve 9 significant bits for the precision, which
translates to a relative error of about 0.4%.