Elasticsearch Aproximate KNN search using custom score calculation using a custom priority field

Elastic Search
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9

Sorry about your difficulties.

Each knn query is an individual query. See my example (shortened for brevity):

{
    "from": 0,
    "size": 10,
    "query": {
        "script_score": {
            "query": {
                "bool": {
                    "should": [
                        {
                            "knn": {
                                "field": "ml.inference.vector_title.predicted_value",
                                "query_vector": [1,2,3],
                                "num_candidates": 100
                            }
                        },
                        {
                            "knn": {
                                "field": "ml.inference.vector_headings.predicted_value",
                                "query_vector": [1,2,3],
                                "num_candidates": 100
                            }
                        },
                        ...
                    ]
                }
            }
        },
        "script": {
            "source": "if(doc['priority'].size() > 0){ return _score*(1-(doc['priority'].value-1)/10) }",
            "lang": "painless"
        }
    },
    "min_score": 50.0
}

You can see many examples here on this particular doc page: Knn query | Elasticsearch Guide [8.12] | Elastic

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