# hhy-huang/HiRAG

<https://repo.masters-masters.com/en/repos/hhy-huang/HiRAG>

[Home](https://repo.masters-masters.com/en) › [hhy-huang](https://repo.masters-masters.com/en/owners/hhy-huang) › [HiRAG](https://repo.masters-masters.com/en/repos/hhy-huang/HiRAG)

hhy-huang/HiRAG has 555 stars on GitHub. Its RepoMasters card: Alpha tier. \[EMNLP'25 findings\] An easy-to-use Graph RAG system using hierarchical knowledge.

| Field | Value |
| --- | --- |
| Owner | [hhy-huang](https://repo.masters-masters.com/en/owners/hhy-huang) |
| Stars | 555 |
| Forks | 81 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | clustering, graphrag, large-language-models, nlp, rag, retrieval-augmented-generation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [hhy-huang/HiRAG](https://github.com/hhy-huang/HiRAG) |

## Repository

\[EMNLP'25 findings\] An easy-to-use Graph RAG system using hierarchical knowledge.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.