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arXiv · 2510.02243

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

Linh The Nguyen·Chi Tran·Dung Ngoc Nguyen·Van-Cuong Pham·Hoang Ngo·Dat Quoc Nguyen
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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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Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, Van-Cuong Pham, Hoang Ngo, Dat Quoc Nguyen. 2025-10-02. AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications. https://arxiv.org/abs/2510.02243

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