import { EmbeddingService, type EmbeddingModelInfo } from './EmbeddingService.js';
/**
 * Configuration for local embedding service using transformers.js
 */
export interface LocalEmbeddingConfig {
    /**
     * Model name from Hugging Face (e.g., 'Xenova/bge-base-en-v1.5')
     */
    model?: string;
    /**
     * Override dimensions (auto-detected from model if not provided)
     */
    dimensions?: number;
    /**
     * Version string for tracking
     */
    version?: string;
    /**
     * Pooling strategy ('mean' or 'cls')
     */
    pooling?: 'mean' | 'cls';
}
/**
 * Service implementation that generates embeddings locally using transformers.js and ONNX Runtime
 */
export declare class LocalEmbeddingService extends EmbeddingService {
    private model;
    private dimensions;
    private version;
    private pooling;
    private extractor;
    private initPromise;
    /**
     * Create a new local embedding service
     *
     * @param config - Configuration for the service
     */
    constructor(config?: LocalEmbeddingConfig);
    /**
     * Initialize the transformers.js pipeline
     *
     * @private
     */
    private _initialize;
    /**
     * Generate an embedding for a single text
     *
     * @param text - Text to generate embedding for
     * @returns Promise resolving to embedding vector
     */
    generateEmbedding(text: string): Promise<number[]>;
    /**
     * Generate embeddings for multiple texts
     *
     * @param texts - Array of texts to generate embeddings for
     * @returns Promise resolving to array of embedding vectors
     */
    generateEmbeddings(texts: string[]): Promise<number[][]>;
    /**
     * Get information about the embedding model
     *
     * @returns Model information
     */
    getModelInfo(): EmbeddingModelInfo;
    /**
     * Extract error message from error object
     *
     * @private
     * @param error - Error object
     * @returns Error message string
     */
    private _getErrorMessage;
    /**
     * Normalize a vector to unit length (L2 norm)
     *
     * @private
     * @param vector - Vector to normalize in-place
     */
    private _normalizeVector;
    /**
     * Get information about the embedding provider
     *
     * @returns Provider information
     */
    getProviderInfo(): {
        provider: string;
        model: string;
        dimensions: number;
    };
}