Edits history of script submission #9770 for ' Create a corpus (vectara)'

• bun

  Ap­pro­ved version

  Edit in Windmill

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  //native
  type Vectara = {
  	apiKey: string
  }
  /**
   * Create a corpus
   * Create a corpus, which is a container to store documents and associated metadata. This is where you 
  create the unique `corpus_key` that identifies the corpus. The `corpus_key` can be custom-defined 
  following your preferred naming convention, allowing you to easily manage the corpus's data and 
  reference it in queries. For more information, see 
  [Corpus Key Definition](https://docs.vectara.com/docs/api-reference/search-apis/search#corpus-key-definition).
  
   */
  export async function main(
  	auth: Vectara,
  	body: {
  		key: string
  		name?: string
  		description?: string
  		queries_are_answers?: false | true
  		documents_are_questions?: false | true
  		encoder_id?: string
  		encoder_name?: string
  		filter_attributes?: {
  			name: string
  			level: 'document' | 'part'
  			description?: string
  			indexed?: false | true
  			type:
  				| 'boolean'
  				| 'integer'
  				| 'real_number'
  				| 'text'
  				| 'list[integer]'
  				| 'list[real_number]'
  				| 'list[text]'
  		}[]
  		custom_dimensions?: {
  			name: string
  			description?: string
  			indexing_default?: number
  			querying_default?: number
  		}[]
  	}
  ) {
  	const url = new URL(`https://api.vectara.io/v2/corpora`)
  
  	const response = await fetch(url, {
  		method: 'POST',
  		headers: {
  			'Content-Type': 'application/json',
  			'x-api-key': auth.apiKey
  		},
  		body: JSON.stringify(body)
  	})
  	if (!response.ok) {
  		const text = await response.text()
  		throw new Error(`${response.status} ${text}`)
  	}
  	return await response.json()
  }
  

  Submitted by hugo697 581 days ago