import type { Embedder } from './store.js';
/**
 * Same model the semantic router uses, so the weights are normally already on
 * disk (`monomind download-embeddings`). 384-dim, ~22M parameters.
 */
export declare const EMBEDDING_MODEL = "Snowflake/snowflake-arctic-embed-xs";
/** Whether the model's files are already on disk under transformers.js' cache directory. */
export declare function isModelCached(cacheDir: string | undefined): boolean;
/**
 * Builds an {@link Embedder} on `@huggingface/transformers`. The caller supplies
 * the module loader (`() => import('@huggingface/transformers')`) so the
 * dependency resolves from the host package; monograph itself does not depend
 * on it. Returns null when the module or the model is unavailable, and
 * `MONOGRAPH_EMBED=0` turns the semantic index off. The model is never
 * downloaded implicitly (~88 MB): without it on disk this returns null —
 * `monomind download-embeddings` fetches it, or set `MONOGRAPH_ALLOW_DOWNLOAD=1`.
 */
export declare function createTransformersEmbedder(load: () => Promise<unknown>): Promise<Embedder | null>;
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