hhy-huang / HiRAG
[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.
Why this job: says: rag; topics: rag, retrieval-augmented-generation, graphrag
What it does
You can just utilize the following code to perform a query with HiRAG.
Get started
# remember clone this repo first
cd HiRAG
pip install -e .- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 555
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 80% closed
- 3 still open
- Pull requests
- 8 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- clustering
- graphrag
- large-language-models
- nlp
- rag
- retrieval-augmented-generation
Project record
- JobRAG and search
- StatusListed
- Commits56
- Forks81
- Watching6
- Stars in 28 days0
- CreatedMar 14, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026