AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications

Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, Van-Cuong Pham, Hoang Ngo +1 more
10/2/2025
cs.CL

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Abstract

We introduce AccurateRAG -- a novel framework for constructing high-performance question-answering applications based on retrieval-augmented generation (RAG). Our framework offers a pipeline for development efficiency with tools for raw dataset processing, fine-tuning data generation, text embedding & LLM fine-tuning, output evaluation, and building RAG systems locally. Experimental results show that our framework outperforms previous strong baselines and obtains new state-of-the-art question-answering performance on benchmark datasets.

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Cite this paper

@article{nguyen2025accuraterag,
  title  = {AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications},
  author = {Linh The Nguyen and Chi Tran and Dung Ngoc Nguyen and Van-Cuong Pham and Hoang Ngo and Dat Quoc Nguyen},
  year   = {2025},
  eprint = {2510.02243},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.02243v1}
}

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