/**
 * Jina API Client - Deep Semantic Embeddings
 *
 * Integrates jina-embeddings-v4 for conceptual search and semantic evolution.
 * Supports task-specific adapters and Matryoshka dimension reduction.
 */
export type JinaTask = 'retrieval.query' | 'retrieval.passage' | 'text-matching' | 'classification' | 'separation';
export interface JinaEmbeddingResponse {
    model: string;
    data: {
        object: 'embedding';
        index: number;
        embedding: number[];
    }[];
    usage: {
        total_tokens: number;
        prompt_tokens: number;
    };
}
/**
 * Get embeddings for a list of texts using Jina Embeddings v4
 *
 * @param texts Array of strings to embed
 * @param apiKey Jina API key
 * @param task The task adapter to use (defaults to retrieval.passage)
 * @param dimensions Dimensionality of the output (Matryoshka supported)
 */
export declare function getJinaEmbeddings(texts: string[], apiKey: string, options?: {
    task?: JinaTask;
    dimensions?: number;
    model?: string;
}): Promise<number[][]>;
/**
 * Calculate cosine similarity between two vectors
 */
export declare function cosineSimilarity(a: number[], b: number[]): number;
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