castorini/anserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

A Python framework for performing information retrieval experiments, building on http://terrier.org/

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

Retrieval and Retrieval-augmented LLMs

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

Late Interaction Models Training & Retrieval

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

PISA: Performant Indexes and Search for Academia