Is there a way to combine default BM25 score of Elasticsearch and Dense Vectors similarity

Elastic Stack Elasticsearch
2

Hello,
script gives you flexibility to combine textual scores with any other computations the way you like.
For example, the following query uses a linear combination of BM25 score from query: message:elasticsearch with a vector cosine similarity.

{
  "query": {
    "script_score": {
      "query": {
        "match": {
          "message": "elasticsearch"
        }
      },
      "script": {
        "source": "_score + cosineSimilarity(params.query_vector, 'my_dense_vector')",
        "params": {
          "query_vector": [4, 3.4,-0.2]
        }
      }
    }
  }
}
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