/**
 * Generates embeddings for entities across all 5 dimensions.
 * Uses OpenAI text-embedding-3-small model (1536 dimensions).
 */
export declare class EmbeddingGenerator {
    private openai;
    private readonly model;
    private readonly dimensions;
    constructor(apiKey?: string);
    /**
     * Generates an embedding for a single entity.
     *
     * @param dimension The dimension (X, Y, Z, W, or T)
     * @param entityId The entity ID (for logging)
     * @param content The content to embed
     * @returns Promise that resolves to the embedding vector (1536 dimensions)
     * @throws Error if OpenAI API is not configured or API call fails
     */
    generateEmbedding(dimension: 'X' | 'Y' | 'Z' | 'W' | 'T', entityId: string, content: string): Promise<number[]>;
    /**
     * Generates embeddings for multiple entities in batch.
     * Uses OpenAI batch API for better performance.
     *
     * @param items Array of items to embed
     * @returns Promise that resolves to a Map of entityId -> embedding vector
     */
    generateBatch(items: Array<{
        dimension: 'X' | 'Y' | 'Z' | 'W' | 'T';
        entityId: string;
        content: string;
    }>): Promise<Map<string, number[]>>;
    /**
     * Gets the embedding model name.
     */
    getModel(): string;
    /**
     * Gets the embedding dimensions.
     */
    getDimensions(): number;
    /**
     * Checks if OpenAI API is configured.
     */
    isConfigured(): boolean;
}
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