cdqa-suite/cdQA
โ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
$ git clone https://github.com/DevSinghSachan/emdr2.gitโ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Neural Search
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
๐ RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
Framework for enhancing LLMs for RAG tasks using fine-tuning.
๐ฅ Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ๐ฅ. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Data from GitHub ยท snapshot Sep 24, 2026