/**
 * Embeddings provider — pluggable embedding generation for semantic search.
 *
 * Supports multiple backends:
 *   - fastembed (local ONNX runtime, no network, default)
 *   - openai (OpenAI embeddings API)
 *   - voyage (Voyage AI embeddings API)
 *
 * Each provider normalizes output to float32 arrays for consistent distance computation.
 */
export interface EmbeddingProvider {
    readonly name: string;
    /** Dimensionality of the embedding vectors. */
    readonly dimensions: number;
    /** Generate embeddings for a batch of text chunks. */
    embed(texts: string[]): Promise<Float32Array[]>;
    /** Check if the provider is ready (e.g., model loaded, API key present). */
    isReady(): boolean;
    /** Initialize the provider (load model, verify API key, etc). */
    init(): Promise<void>;
}
export interface EmbeddingConfig {
    /** Provider to use. Default: 'fastembed'. */
    provider?: 'fastembed' | 'openai' | 'voyage';
    /** Model name for the provider. */
    model?: string;
    /** API key (for OpenAI/Voyage). Auto-detected from env if omitted. */
    apiKey?: string;
    /** Max batch size for embedding calls. */
    batchSize?: number;
}
/**
 * Create an embedding provider based on configuration.
 */
export declare function createEmbeddingProvider(config?: EmbeddingConfig): EmbeddingProvider;
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