# SubgraphRAG, Simple Yet Effective KG-Based RAG [[Paper]](https://arxiv.org/abs/2410.20724)  ## Table of Contents - [Usage](#usage) - [Citation](#citation) - [Frequently Asked Questions (FQA)](#frequently-asked-questions-fqa) ## Usage SubgraphRAG is a retrieval-and-reasoning pipeline for knowledge-graph-based retrieval-augmented generation. 1. For the retrieval stage, see [the retrieve folder](./retrieve/). 2. For the reasoning stage, see [the reason folder](./reason/). ## Frequently Asked Questions (FQA) We welcome your feedback and sincerely appreciate your time! If you encounter bugs or have feature requests, you may [open an issue](../../issues/new) or email us at `{mufei.li, siqi.miao}@gatech.edu`. Your input helps us improve and better serve the community! ## Citation ```tex @article{li2024subgraphrag, title={Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation}, author={Li, Mufei and Miao, Siqi and Li, Pan}, journal={arXiv preprint arXiv:2410.20724}, year={2024} } ```