Score

Score is relevance in Elasticsearch.

Sample type definition:

from graphene import Node
from graphene_elastic import ElasticsearchObjectType
from graphene_elastic.filter_backends import ScoreFilterBackend, OrderingFilterBackend

class Post(ElasticsearchObjectType):

    class Meta:

        document = PostDocument
        interfaces = (Node,)
        filter_backends = [
            # ...
            ScoreFilterBackend,  # Important
            OrderingFilterBackend,  # Important
            # ...
        ]


        # For `OrderingFilterBackend` backend
        ordering_fields = {
            # Score
            'score': '_score',
        }

Sample query:

Note, that we want to order by relevance (most relevant on top).

query {
  allPostDocuments(
        search:{query:"Alice"},
        ordering:{score:DESC}
    ) {
    edges {
      node {
        id
        title
        content
        category
        createdAt
        score
      }
    }
  }
}

Sample response:

As you could see, score is calculated.

{
  "data": {
    "allPostDocuments": {
      "edges": [
        {
          "node": {
            "id": "UG9zdDpMNnBiV1hNQjhYRzdJclZ2X20waA==",
            "title": "Budget.",
            "category": "Elastic",
            "content": "Bed television public teacher behind human up.\nMind anyone politics ball cost wife try adult. College work for.\nPlay five ten not sort energy.\nCommon word behind spring. All behind voice policy.",
            "createdAt": "1973-03-12T00:00:00",
            "score": 20.420774
          }
        },
        ...
       ]
    }
  }
}