Graph-COM/SubgraphRAG

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

185

stars

29

commits

Python

primary language

Jan 27, 2025

updated

gpt-4o
graphrag
knowledge-graph
large-language-models
llama
llm
rag
retrieval-augmented-generation
subgraphrag

README

SubgraphRAG, Simple Yet Effective KG-Based RAG

[Paper]

model

Table of Contents

Usage

SubgraphRAG is a retrieval-and-reasoning pipeline for knowledge-graph-based retrieval-augmented generation.

  1. For the retrieval stage, see the retrieve folder.
  2. For the reasoning stage, see the reason folder.

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 or email us at {mufei.li, siqi.miao}@gatech.edu. Your input helps us improve and better serve the community!

Citation

@inproceedings{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},
    booktitle={International Conference on Learning Representations},
    year={2025}
}

Contributors

mufeili

17 commits

siqim

11 commits

Kh4L

1 commits

Graph-COM/SubgraphRAG

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

185

stars

29

commits

Python

primary language

Jan 27, 2025

updated

gpt-4o
graphrag
knowledge-graph
large-language-models
llama
llm
rag
retrieval-augmented-generation
subgraphrag

README

SubgraphRAG, Simple Yet Effective KG-Based RAG

[Paper]

model

Table of Contents

Usage

SubgraphRAG is a retrieval-and-reasoning pipeline for knowledge-graph-based retrieval-augmented generation.

  1. For the retrieval stage, see the retrieve folder.
  2. For the reasoning stage, see the reason folder.

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 or email us at {mufei.li, siqi.miao}@gatech.edu. Your input helps us improve and better serve the community!

Citation

@inproceedings{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},
    booktitle={International Conference on Learning Representations},
    year={2025}
}

Contributors

mufeili

17 commits

siqim

11 commits

Kh4L

1 commits

Languages

Python

83.1%

Jupyter Notebook

16.9%