avnlp / rrf Star 6 Code Issues Pull requests Performance Evaluation of Rankers and RRF Techniques for Retrieval Pipelines: Employs Diversity, Lost-in-the-Middle, and Similarity rankers to reorder documents and maximize LLM context window performance. Implements Hybrid Retrieval with Reciprocal Rank Fusion (RRF) and rigorous BEIR evaluation (NDCG, MAP, Recall, Precision). ranker rrf reciprocal-rank-fusion similarity-ranker lost-in-the-middle-ranker diversity-ranker Updated Nov 23, 2025 Python