Expand description

Nested message and enum types in NearestNeighborQuery.

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Structs§

  • The embedding vector.
  • Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns. For example: Database Point 0: {name: “a” value_int: 42} {name: “b” value_float: 1.0} Database Point 1: {name: “a” value_int: 10} {name: “b” value_float: 2.0} Database Point 2: {name: “a” value_int: -1} {name: “b” value_float: 3.0} Query: {name: “a” value_int: 12 operator: LESS} // Matches Point 1, 2 {name: “b” value_float: 2.0 operator: EQUAL} // Matches Point 1
  • Parameters that can be overrided in each query to tune query latency and recall.
  • String filter is used to search a subset of the entities by using boolean rules on string columns. For example: if a query specifies string filter with ‘name = color, allow_tokens = {red, blue}, deny_tokens = {purple}’,’ then that query will match entities that are red or blue, but if those points are also purple, then they will be excluded even if they are red/blue. Only string filter is supported for now, numeric filter will be supported in the near future.

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