import type { SearchResult } from "../db/store.ts";
/**
 * Reciprocal Rank Fusion — combines two ranked result lists into one.
 *
 *   score(skill) = w_fts/(k + rank_fts) + w_vec/(k + rank_vec)
 *
 * k=60 is the standard constant. Skills that rank high in both
 * systems get the best combined score, without needing to normalize
 * different score scales (BM25 scores vs cosine distances).
 *
 * Weights default to fts=0.4, vec=0.6 — giving vector a slight edge
 * since it handles semantic queries better while BM25 still helps
 * with exact keyword matches.
 */
export declare function rrfMerge(ftsResults: SearchResult[], vecResults: SearchResult[], limit: number, k?: number, ftsWeight?: number, vecWeight?: number): SearchResult[];