import { BaseEmbeddings, EmbedTextParams, EmbedTextsParams, EmbedTextResult, EmbedTextsResult, EmbedContentParams, EmbedContentResult, FileCapabilities } from '@memberjunction/ai';
import { GoogleGenAI } from '@google/genai';
export declare class GeminiEmbedding2 extends BaseEmbeddings {
    private _gemini;
    constructor(apiKey: string);
    get GeminiClient(): GoogleGenAI;
    GetFileCapabilities(): FileCapabilities | null;
    EmbedText(params: EmbedTextParams): Promise<EmbedTextResult>;
    EmbedTexts(params: EmbedTextsParams): Promise<EmbedTextsResult>;
    /**
     * Multimodal embed: text and/or interleaved media blocks (image/audio/video/document)
     * fused into ONE vector in the same space as text embeddings — enabling cross-modal
     * retrieval (a text query matching an image, audio, or video). Overrides the base
     * BaseEmbeddings.EmbedContent, which is text-only. Content blocks are mapped to Gemini
     * parts via GeminiLLM.MapMJContentToGeminiParts. Returns an empty vector on error,
     * consistent with the text methods.
     */
    EmbedContent(params: EmbedContentParams): Promise<EmbedContentResult>;
    GetEmbeddingModels(): Promise<EmbeddingModelInfo[]>;
}
/** Describes an embedding model returned by {@link GeminiEmbedding2.GetEmbeddingModels}. */
export interface EmbeddingModelInfo {
    Model: string;
    Description: string;
    OutputDimension: number;
}
//# sourceMappingURL=geminiEmbedding2.d.ts.map