VectorConfig

Configuration for a vector generation method. This model defines how vectors should be generated for a specific field or set of fields. Different vector types have different requirements and behaviors.

Properties

Name	Type
name	string
type	string
model	string
revision	string
query_model	string
query_revision	string
dimensions	number
top_k	number
wmtr_word_weight	number
index_fields	Array<string>
language_default_code	string
language_detect	boolean
language_confidence	number
normalization	boolean
dense_distance	string
keep_case	boolean

Example

import type { VectorConfig } from ''

// TODO: Update the object below with actual values
const example = {
  "name": null,
  "type": null,
  "model": null,
  "revision": null,
  "query_model": null,
  "query_revision": null,
  "dimensions": null,
  "top_k": null,
  "wmtr_word_weight": null,
  "index_fields": null,
  "language_default_code": null,
  "language_detect": null,
  "language_confidence": null,
  "normalization": null,
  "dense_distance": null,
  "keep_case": null,
} satisfies VectorConfig

console.log(example)

// Convert the instance to a JSON string
const exampleJSON: string = JSON.stringify(example)
console.log(exampleJSON)

// Parse the JSON string back to an object
const exampleParsed = JSON.parse(exampleJSON) as VectorConfig
console.log(exampleParsed)

[Back to top] [Back to API list] [Back to Model list] [Back to README]