Class BaseGoogleEmbeddings<AuthOptions>Abstract

constructor

• new BaseGoogleEmbeddings<AuthOptions>(fields): BaseGoogleEmbeddings<AuthOptions>

• Type Parameters

  • AuthOptions

  Parameters

  • fields: BaseGoogleEmbeddingsParams<AuthOptions>

  Returns BaseGoogleEmbeddings<AuthOptions>

model

AbstractbuildAbstractedClient

• buildAbstractedClient(fields?): GoogleAbstractedClient

• Parameters

  • Optionalfields: GoogleConnectionParams<AuthOptions>

  Returns GoogleAbstractedClient

buildApiKey

• buildApiKey(fields?): undefined | string

• Parameters

  • Optionalfields: GoogleConnectionParams<AuthOptions>

  Returns undefined | string

buildApiKeyClient

• buildApiKeyClient(apiKey): GoogleAbstractedClient

• Parameters

  • apiKey: string

  Returns GoogleAbstractedClient

buildClient

• buildClient(fields?): GoogleAbstractedClient

• Parameters

  • Optionalfields: GoogleConnectionParams<AuthOptions>

  Returns GoogleAbstractedClient

embedDocuments

• embedDocuments(documents): Promise<number[][]>

• Takes an array of documents as input and returns a promise that resolves to a 2D array of embeddings for each document. It splits the documents into chunks and makes requests to the Google Vertex AI API to generate embeddings.

  Parameters

  • documents: string[]

    An array of documents to be embedded.

  Returns Promise<number[][]>

  A promise that resolves to a 2D array of embeddings for each document.

embedQuery

• embedQuery(document): Promise<number[]>

• Takes a document as input and returns a promise that resolves to an embedding for the document. It calls the embedDocuments method with the document as the input.

  Parameters

  • document: string

    A document to be embedded.

  Returns Promise<number[]>

  A promise that resolves to an embedding for the document.