/**
 * Versioned model artifacts on disk, mirroring the existing graph.json /
 * knowledge.json persistence discipline: plain JSON under ~/.nexus/models/, a
 * manifest with provenance, and a loader that returns null when absent so every
 * caller can fall back to the hand-tuned heuristics. Nothing here ever throws on
 * a missing model — a fresh install simply has no learned models yet.
 */
import { EmbeddingModel } from "./embedding-model.js";
import type { EmbeddingArtifact, ModelManifest } from "./types.js";
export declare function modelPath(dataDir: string, name: string): string;
/** Stable hash of the training corpus — recorded in the manifest so a loader can
 *  tell whether the model is stale relative to current memory. */
export declare function corpusHash(documents: string[]): string;
export declare function saveEmbeddingArtifact(dataDir: string, name: string, artifact: EmbeddingArtifact): string;
/** Load a trained embedding model, or null if none exists / it is unreadable. */
export declare function loadEmbeddingModel(dataDir: string, name?: string): EmbeddingModel | null;
/** Read just the manifest (cheap-ish) for `nexus status` / inspection. */
export declare function loadManifest(dataDir: string, name?: string): ModelManifest | null;
export declare function listModels(dataDir: string): string[];