{
  "comment" : "This is generated by ESQL's AbstractFunctionTestCase. Do not edit it. See ../README.md for how to regenerate it.",
  "type" : "scalar",
  "name" : "knn",
  "description" : "Finds the k nearest vectors to a query vector, as measured by a similarity metric. knn function finds nearest vectors through approximate search on indexed dense_vectors.",
  "signatures" : [ ],
  "examples" : [
    "from colors metadata _score\n| where knn(rgb_vector, [0, 120, 0])\n| sort _score desc, color asc",
    "from colors metadata _score\n| where knn(rgb_vector, [0,255,255], {\"k\": 4})\n| sort _score desc, color asc"
  ],
  "preview" : true,
  "snapshot_only" : true
}