@langchain/community/dist/experimental/multimodal_embeddings/googlevertexai.d.cts.map

Third-party integrations for LangChain.js

{"version":3,"file":"googlevertexai.d.cts","names":["GoogleAuthOptions","Embeddings","EmbeddingsParams","GoogleVertexAIBaseLLMInput","GoogleVertexAIBasePrediction","GoogleVertexAILLMResponse","GoogleVertexAIMultimodalEmbeddingsParams","GoogleVertexAIMultimodalEmbeddingsInstance","GoogleVertexAIMultimodalEmbeddingsResults","GoogleVertexAIMedia","Buffer","MediaEmbeddings","GoogleVertexAIMultimodalEmbeddings","Promise"],"sources":["../../../src/experimental/multimodal_embeddings/googlevertexai.d.ts"],"sourcesContent":["import { GoogleAuthOptions } from \"google-auth-library\";\nimport { Embeddings, EmbeddingsParams } from \"@langchain/core/embeddings\";\nimport { GoogleVertexAIBaseLLMInput, GoogleVertexAIBasePrediction } from \"../../types/googlevertexai-types.js\";\nimport { GoogleVertexAILLMResponse } from \"../../utils/googlevertexai-connection.js\";\n/**\n * Parameters for the GoogleVertexAIMultimodalEmbeddings class, extending\n * both EmbeddingsParams and GoogleVertexAIConnectionParams.\n */\nexport interface GoogleVertexAIMultimodalEmbeddingsParams extends EmbeddingsParams, GoogleVertexAIBaseLLMInput<GoogleAuthOptions> {\n}\n/**\n * An instance of media (text or image) that can be used for generating\n * embeddings.\n */\ninterface GoogleVertexAIMultimodalEmbeddingsInstance {\n    text?: string;\n    image?: {\n        bytesBase64Encoded: string;\n    };\n}\n/**\n * The results of generating embeddings, extending\n * GoogleVertexAIBasePrediction. It includes text and image embeddings.\n */\ninterface GoogleVertexAIMultimodalEmbeddingsResults extends GoogleVertexAIBasePrediction {\n    textEmbedding?: number[];\n    imageEmbedding?: number[];\n}\n/**\n * The media should have a text property, an image property, or both.\n */\nexport type GoogleVertexAIMedia = {\n    text: string;\n    image?: Buffer;\n} | {\n    text?: string;\n    image: Buffer;\n};\nexport type MediaEmbeddings = {\n    text?: number[];\n    image?: number[];\n};\n/**\n * Class for generating embeddings for text and images using Google's\n * Vertex AI. It extends the Embeddings base class and implements the\n * GoogleVertexAIMultimodalEmbeddingsParams interface.\n */\nexport declare class GoogleVertexAIMultimodalEmbeddings extends Embeddings implements GoogleVertexAIMultimodalEmbeddingsParams {\n    model: string;\n    private connection;\n    constructor(fields?: GoogleVertexAIMultimodalEmbeddingsParams);\n    /**\n     * Converts media (text or image) to an instance that can be used for\n     * generating embeddings.\n     * @param media The media (text or image) to be converted.\n     * @returns An instance of media that can be used for generating embeddings.\n     */\n    mediaToInstance(media: GoogleVertexAIMedia): GoogleVertexAIMultimodalEmbeddingsInstance;\n    /**\n     * Converts the response from Google Vertex AI to embeddings.\n     * @param response The response from Google Vertex AI.\n     * @returns An array of media embeddings.\n     */\n    responseToEmbeddings(response: GoogleVertexAILLMResponse<GoogleVertexAIMultimodalEmbeddingsResults>): MediaEmbeddings[];\n    /**\n     * Generates embeddings for multiple media instances.\n     * @param media An array of media instances.\n     * @returns A promise that resolves to an array of media embeddings.\n     */\n    embedMedia(media: GoogleVertexAIMedia[]): Promise<MediaEmbeddings[]>;\n    /**\n     * Generates embeddings for a single media instance.\n     * @param media A single media instance.\n     * @returns A promise that resolves to a media embedding.\n     */\n    embedMediaQuery(media: GoogleVertexAIMedia): Promise<MediaEmbeddings>;\n    /**\n     * Generates embeddings for multiple images.\n     * @param images An array of images.\n     * @returns A promise that resolves to an array of image embeddings.\n     */\n    embedImage(images: Buffer[]): Promise<number[][]>;\n    /**\n     * Generates embeddings for a single image.\n     * @param image A single image.\n     * @returns A promise that resolves to an image embedding.\n     */\n    embedImageQuery(image: Buffer): Promise<number[]>;\n    /**\n     * Generates embeddings for multiple text documents.\n     * @param documents An array of text documents.\n     * @returns A promise that resolves to an array of text document embeddings.\n     */\n    embedDocuments(documents: string[]): Promise<number[][]>;\n    /**\n     * Generates embeddings for a single text document.\n     * @param document A single text document.\n     * @returns A promise that resolves to a text document embedding.\n     */\n    embedQuery(document: string): Promise<number[]>;\n}\nexport {};\n//# sourceMappingURL=googlevertexai.d.ts.map"],"mappings":";;;;;;;;;AAQA;;AAAkEE,UAAjDI,wCAAAA,SAAiDJ,gBAAAA,EAAkBC,0BAAlBD,CAA6CF,iBAA7CE,CAAAA,CAAAA;AAA4C;AAC7G;AAKmD;AAiBpD;AAOA,UAxBUK,0CAAAA,CAwBiB;EASNK,IAAAA,CAAAA,EAAAA,MAAAA;EAGIN,KAAAA,CAAAA,EAAAA;IAOEG,kBAAAA,EAAAA,MAAAA;EAAsBF,CAAAA;;;;;;UAjCvCC,yCAAAA,SAAkDJ,4BA6CdS,CAAAA;EAMnBJ,aAAAA,CAAAA,EAAAA,MAAAA,EAAAA;EAA8BE,cAAAA,CAAAA,EAAAA,MAAAA,EAAAA;;;;;AAYrBE,KAxDxBJ,mBAAAA,GAwDwBI;EAMKA,IAAAA,EAAAA,MAAAA;EAMPA,KAAAA,CAAAA,EAlEtBH,MAkEsBG;CApD8BZ,GAAAA;EAAsBK,IAAAA,CAAAA,EAAAA,MAAAA;EAAwC,KAAA,EAXnHI,MAWmH;;KATlHC,eAAAA;;;;;;;;;cASSC,kCAAAA,SAA2CX,UAAAA,YAAsBK;;;uBAG7DA;;;;;;;yBAOEG,sBAAsBF;;;;;;iCAMdF,0BAA0BG,6CAA6CG;;;;;;oBAMpFF,wBAAwBI,QAAQF;;;;;;yBAM3BF,sBAAsBI,QAAQF;;;;;;qBAMlCD,WAAWG;;;;;;yBAMPH,SAASG;;;;;;uCAMKA;;;;;;gCAMPA"}