Creating a vector index with incorrect dimension leaves a trace

CREATE INDEX `testmultiScalarOneVector_2` ON b1(rating,category,colorRGBVector Vector)

PARTITION BY HASH (meta().id) WITH {"dimension":384, "description": "IVF,PQ8x8", "similarity":"L2", 'num_partition': 8}

[

  {

    "code": 5000,

    "msg": "GSI CreateIndex() - cause: 4:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 5:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 6:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 7:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 8:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 1:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 2:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 3:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids \n\n",

    "reason": {

      "_level": "exception",

      "caller": "secondary_index:683",

      "cause": {

        "error": "4:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 5:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 6:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 7:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 8:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 1:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 2:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids 3:ErrTraining: Number of qualifying/valid vectors 0 are less than the number of vectors 256 required for training 256 centroids",

        "source": "CreateIndex()"

      },

      "code": 4350,

      "key": "indexing.error",

      "message": "GSI error"

    },

    "query": "CREATE INDEX `testmultiScalarOneVector_2` ON b1(rating,category,colorRGBVector Vector)\nPARTITION BY HASH (meta().id) WITH {\"dimension\":384, \"description\": \"IVF,PQ8x8\", \"similarity\":\"L2\", 'num_partition': 8}"

  }

] 

CREATE INDEX `testmultiScalarOneVector_2` ON b1(rating,category,colorRGBVector Vector)

PARTITION BY HASH (meta().id) WITH {"dimension":3, "description": "IVF,PQ3x8", "similarity":"L2", 'num_partition': 8}