Knn.ts

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 *
 *    http://www.apache.org/licenses/LICENSE-2.0
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import { Field } from '@_types/common'
import { long, double, float } from '@_types/Numeric'
import { QueryContainer } from './query_dsl/abstractions'

export type QueryVector = float[]

export interface KnnQuery {
  /** The name of the vector field to search against */
  field: Field
  /** The query vector */
  query_vector?: QueryVector
  /** The query vector builder. You must provide a query_vector_builder or query_vector, but not both. */
  query_vector_builder?: QueryVectorBuilder
  /** The final number of nearest neighbors to return as top hits */
  k: long
  /** The number of nearest neighbor candidates to consider per shard */
  num_candidates: long
  /** Boost value to apply to kNN scores */
  boost?: float
  /** Filters for the kNN search query */
  filter?: QueryContainer | QueryContainer[]
}

/** @variants container */
export interface QueryVectorBuilder {
  text_embedding?: TextEmbedding
}

export interface TextEmbedding {
  model_id: string
  model_text: string
}