import { TextRerankPipelineConfig, TextRerankResults, TextRerankPipeline as TextRerankPipelineWrapper } from "../addon.js";
/**
 * Options for initializing TextRerankPipeline.
 */
export type TextRerankPipelineOptions = {
    /** Device to run the model on (e.g., "CPU", "GPU"). */
    device?: string;
    /** Optional pipeline configuration. */
    config?: TextRerankPipelineConfig;
    /** Plugin properties. */
    ovProperties?: object;
};
/**
 * Text rerank pipeline for reranking documents based on query relevance.
 */
export declare class TextRerankPipeline {
    modelPath: string;
    device: string;
    config: TextRerankPipelineConfig;
    ovProperties: object;
    pipeline: TextRerankPipelineWrapper | null;
    /**
     * Constructs a TextRerankPipeline from xml/bin files, tokenizer and configuration in the same directory.
     * @param modelPath - Path to the directory containing model xml/bin files and tokenizer.
     * @param options - Pipeline initialization options.
     */
    constructor(modelPath: string, options: TextRerankPipelineOptions);
    /**
     * Initializes the pipeline.
     * @throws {Error} If the pipeline is already initialized.
     */
    init(): Promise<void>;
    /**
     * Reranks a vector of documents based on the query.
     * @param query - The query string.
     * @param documents - Array of document strings to rerank.
     * @returns A promise that resolves to an array of tuples containing document indices and their relevance scores,
     *          sorted by score in descending order.
     * @throws {Error} If the pipeline is not initialized.
     */
    rerank(query: string, documents: string[]): Promise<TextRerankResults>;
}