import type { EmbeddingModelV3 } from './_types/@internal_ai-v6/dist/index.d.ts';
import type { EmbeddingModel as EmbeddingModelV2 } from './_types/@internal_ai-sdk-v5/dist/index.d.ts';
import type { EmbeddingModel as EmbeddingModelV1 } from './_types/@internal_ai-sdk-v4/dist/index.d.ts';
export { EmbeddingModel, FlagEmbedding, SparseTextEmbedding, SparseEmbeddingModel, ExecutionProvider, } from './fastembed.js';
export type { SparseVector, InitOptions, InitSparseOptions } from './fastembed.js';
export type { EmbeddingModel as EmbeddingModelV1 } from './_types/@internal_ai-sdk-v4/dist/index.d.ts';
export type { EmbeddingModel as EmbeddingModelV2 } from './_types/@internal_ai-sdk-v5/dist/index.d.ts';
export type { EmbeddingModel as EmbeddingModelV3 } from './_types/@internal_ai-v6/dist/index.d.ts';
/**
 * Pre-download fastembed models without creating ONNX sessions.
 * Call this before running tests in parallel to avoid concurrent download races.
 */
export declare function warmup(): Promise<void>;
export declare const fastembed: EmbeddingModelV3 & {
    small: EmbeddingModelV3;
    base: EmbeddingModelV3;
    smallV2: EmbeddingModelV2<string>;
    baseV2: EmbeddingModelV2<string>;
    smallLegacy: EmbeddingModelV1<string>;
    baseLegacy: EmbeddingModelV1<string>;
};
//# sourceMappingURL=index.d.ts.map