interface EmbeddingOptions {
    /** API key for the embedding provider. */
    apiKey: string;
    /** Whether the input is a document (for indexing) or a query (for search). */
    inputType: "document" | "query";
    /** Number of dimensions for the embedding vector (default: 1024). */
    dimensions?: number;
    /** Max characters per text before truncation (default: 32000). */
    maxChars?: number;
    /** Number of texts to embed per API call (default: 128). */
    batchSize?: number;
}
interface RerankOptions {
    /** API key for the reranking provider. */
    apiKey: string;
    /** Number of top results to return (default: 15). */
    topK?: number;
    /** Model to use for reranking (default: "rerank-2.5"). */
    model?: string;
}
interface EmbeddingResult {
    embedding: number[];
    index: number;
}
interface RerankResult {
    index: number;
    relevanceScore: number;
}

/**
 * Generate embeddings using Voyage AI's code-optimized model.
 *
 * Supports asymmetric embedding: use inputType "document" for indexing
 * and "query" for search queries.
 */
declare function generateEmbeddings(texts: string[], options: EmbeddingOptions): Promise<number[][]>;
/**
 * Rerank documents using Voyage AI's cross-encoder model.
 *
 * Takes a query and candidate documents, returns them reranked by relevance.
 */
declare function rerankResults(query: string, documents: string[], options: RerankOptions): Promise<RerankResult[]>;

export { type EmbeddingOptions, type EmbeddingResult, type RerankOptions, type RerankResult, generateEmbeddings, rerankResults };