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* Distance measures for dense and sparse vectors Introduce painless functions of cosineSimilarity and dotProduct distance measures for dense and sparse vector fields. ```js { "query": { "script_score": { "query": { "match_all": {} }, "script": { "source": "cosineSimilarity(params.queryVector, doc['my_dense_vector'].value)", "params": { "queryVector": [4, 3.4, -1.2] } } } } } ``` ```js { "query": { "script_score": { "query": { "match_all": {} }, "script": { "source": "cosineSimilaritySparse(params.queryVector, doc['my_sparse_vector'].value)", "params": { "queryVector": {"2": -0.5, "10" : 111.3, "50": -13.0, "113": 14.8, "4545": -156.0} } } } } } ``` Closes #31615 |
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dynamic | ||
fields | ||
params | ||
types | ||
dynamic-mapping.asciidoc | ||
fields.asciidoc | ||
params.asciidoc | ||
removal_of_types.asciidoc | ||
types.asciidoc |