//#region ../ai/src/rag/hybrid/rrf.d.ts
/** One item's id paired with a fused relevance score. */
type RankedItem = {
  id: string;
  score: number;
};
/**
 * Reciprocal Rank Fusion (A4) — combine several independently-ranked
 * lists of ids into one consensus ranking. Each list contributes
 * `1 / (k + rank)` to an id's score (rank is 0-based within that list), so
 * an id near the top of multiple lists rises even if no single list ranks
 * it first. The classic fusion for hybrid (dense + lexical) retrieval
 * because it needs no score calibration between the lists.
 *
 * `k` (default 60, the standard) dampens the contribution of lower ranks.
 * Returns ids sorted by fused score, highest first.
 *
 * @example
 * reciprocalRankFusion([["a", "b", "c"], ["b", "a"]]);
 * // → [{ id: "b", ... }, { id: "a", ... }, { id: "c", ... }]
 */
declare function reciprocalRankFusion(rankedLists: ReadonlyArray<ReadonlyArray<string>>, k?: number): RankedItem[];
//#endregion
export { RankedItem, reciprocalRankFusion };
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