⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

Repository with basic information about Rank Aggregation Problem.

Learning Latent Semantic Representations of Paintings for Personalized Recommendation

Easy to use rank aggregation software for recommendation systems

Question-Answering (QA) system powered by Retrieval-Augmented Generation (RAG). The system leverages advanced methods such as Rank Fusion and Cascading Retrieval for optimized document retrieval and contextual QA generation.

Rank fusion algorithms for hybrid search: RRF, CombMNZ, Borda, DBSF, RBC, Condorcet

Implementation of various vector rank fusion algorithms