import type { Database } from 'better-sqlite3';
/**
 * Standard Levenshtein distance algorithm.
 * Calculates the minimum number of single-character edits required to change one word into the other.
 */
export declare function levenshteinDistance(a: string, b: string): number;
/**
 * Builds a vocabulary for fuzzy matching consisting of tag names and entry types.
 * This represents the core ontology of the journal and provides high-value corrections.
 */
export declare function buildVocabulary(db: Database): string[];
/**
 * Finds matches within the given maxDistance.
 */
export declare function findFuzzyMatches(token: string, vocabulary: string[], maxDistance?: number): {
    match: string;
    distance: number;
}[];
/**
 * Expands a query by checking each token against the vocabulary.
 */
export declare function expandFuzzyQuery(query: string, vocabulary: string[], autoCorrect?: boolean): {
    expanded: string;
    suggestions: string[];
    corrected: boolean;
};
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