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retrieval, re-ranking, and retrieval-augmented generation

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retrieval, re-ranking, and retrieval-augmented generation

4 followers

🔥 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 RAG methods.

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Launch tags:Artificial Intelligence•GitHub

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Rankify is a Python toolkit designed for unified retrieval, re-ranking, and retrieval-augmented generation (RAG) research. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7 retrieval techniques, 24 state-of-the-art re-ranking models, and multiple RAG methods. With a flexible generator architecture supporting multiple endpoints, Rankify provides a modular and extensible framework, enabling seamless experimentation and benchmarking across retrieval pipelines. Comprehensive documentation, open-source implementation, and pre-built evaluation tools make Rankify a powerful resource for researchers and practitioners in the field.

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1yr ago

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