"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.EnsembleRetriever = void 0; const retrievers_1 = require("@langchain/core/retrievers"); /** * Ensemble retriever that aggregates and orders the results of * multiple retrievers by using weighted Reciprocal Rank Fusion. */ class EnsembleRetriever extends retrievers_1.BaseRetriever { static lc_name() { return "EnsembleRetriever"; } constructor(args) { super(args); Object.defineProperty(this, "lc_namespace", { enumerable: true, configurable: true, writable: true, value: ["langchain", "retrievers", "ensemble_retriever"] }); Object.defineProperty(this, "retrievers", { enumerable: true, configurable: true, writable: true, value: void 0 }); Object.defineProperty(this, "weights", { enumerable: true, configurable: true, writable: true, value: void 0 }); Object.defineProperty(this, "c", { enumerable: true, configurable: true, writable: true, value: 60 }); this.retrievers = args.retrievers; this.weights = args.weights || new Array(args.retrievers.length).fill(1 / args.retrievers.length); this.c = args.c || 60; } async _getRelevantDocuments(query, runManager) { return this._rankFusion(query, runManager); } async _rankFusion(query, runManager) { const retrieverDocs = await Promise.all(this.retrievers.map((retriever, i) => retriever.invoke(query, { callbacks: runManager?.getChild(`retriever_${i + 1}`), }))); const fusedDocs = await this._weightedReciprocalRank(retrieverDocs); return fusedDocs; } async _weightedReciprocalRank(docList) { if (docList.length !== this.weights.length) { throw new Error("Number of retrieved document lists must be equal to the number of weights."); } const rrfScoreDict = docList.reduce((rffScore, retrieverDoc, idx) => { let rank = 1; const weight = this.weights[idx]; while (rank <= retrieverDoc.length) { const { pageContent } = retrieverDoc[rank - 1]; if (!rffScore[pageContent]) { // eslint-disable-next-line no-param-reassign rffScore[pageContent] = 0; } // eslint-disable-next-line no-param-reassign rffScore[pageContent] += weight / (rank + this.c); rank += 1; } return rffScore; }, {}); const uniqueDocs = this._uniqueUnion(docList.flat()); const sortedDocs = Array.from(uniqueDocs).sort((a, b) => rrfScoreDict[b.pageContent] - rrfScoreDict[a.pageContent]); return sortedDocs; } _uniqueUnion(documents) { const documentSet = new Set(); const result = []; for (const doc of documents) { const key = doc.pageContent; if (!documentSet.has(key)) { documentSet.add(key); result.push(doc); } } return result; } } exports.EnsembleRetriever = EnsembleRetriever;