/**
 * Jina AI API Service - Handles all Jina AI integrations
 * Provides embedding generation and result reranking capabilities
 */
export interface RerankerResult {
    index: number;
    relevance_score: number;
    document?: {
        text: string;
    };
}
export interface RerankerResponse {
    results: RerankerResult[];
    usage: {
        total_tokens: number;
        prompt_tokens: number;
    };
}
export interface EmbeddingResponse {
    data: Array<{
        embedding: number[];
        index: number;
    }>;
    usage: {
        total_tokens: number;
        prompt_tokens: number;
    };
}
export declare class JinaApiService {
    private apiKey;
    private readonly baseUrl;
    private readonly logger;
    constructor(apiKey: string, loggerName?: string);
    /**
     * Generate embedding for a single text using Jina AI
     */
    generateEmbedding(text: string): Promise<number[]>;
    /**
     * Generate embeddings for multiple texts in batch using Jina AI
     */
    generateEmbeddingBatch(texts: string[]): Promise<number[][]>;
    /**
     * Rerank search results using Jina reranker - returns raw indices and scores
     */
    rerank(query: string, documents: string[], topN?: number): Promise<Array<{
        index: number;
        relevance_score: number;
    }>>;
    /**
     * Enhanced reranking for search results - preserves original scores and adds reranked flag
     */
    rerankerResults(query: string, results: any[]): Promise<any[]>;
    /**
     * Truncate text content to fit within Jina API token limits
     * Jina API limit: 8194 tokens (roughly ~32KB of text)
     */
    private truncateForJinaApi;
    /**
     * Check if the service is available (API key provided)
     */
    isAvailable(): boolean;
    /**
     * Get the current embedding model name
     */
    getEmbeddingModel(): string;
    /**
     * Get the current reranker model name
     */
    getRerankerModel(): string;
}
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