import type { EmbeddingBackend, EmbeddingConfig } from './types.js';
/**
 * Google Gemini embedding backend
 * Uses Google's Generative AI API for embeddings
 * Free tier: 1500 RPM, no credit card required
 * Get API key at: https://aistudio.google.com/app/apikey
 */
export declare class GeminiBackend implements EmbeddingBackend {
    name: string;
    private model;
    private apiKey;
    private baseUrl;
    private dimensions;
    private rateLimiter;
    private batchSize;
    constructor(config: EmbeddingConfig);
    initialize(): Promise<void>;
    embed(text: string): Promise<number[]>;
    embedBatch(texts: string[]): Promise<number[][]>;
    /**
     * Embed a batch of texts using Gemini's batchEmbedContents endpoint.
     * Used internally by embedBatch.
     */
    private embedBatchDirect;
    getDimensions(): number;
    getModel(): string;
}
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