Adding threshold to the Elasticsearch Query

[dexception]

Hi,

I am little confused about how the l2norm function is executing for face recognition as we haven't given our less than threshold in the query. Can you please explain where it is being done ?

query = {
    "size": 5,
    "query": {
    "script_score": {
        "query": {
            "match_all": {}
        },
        "script": {
            #"source": "cosineSimilarity(params.queryVector, 'title_vector') + 1.0",
            "source": "1 / (1 + l2norm(params.queryVector, 'title_vector'))", #euclidean distance
            "params": {
                "queryVector": list(target_embedding)
            }
        }
    }
}}

[serengil]

it just retrieves the most 5 shortest distance vectors. no thresholds used.

[dexception]

Thanks bro