DEEP-PolyU / LinearRAG
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Why this job: says: retrieval augmented; topics: rag, graphrag
What it does
- Context-Preserving. Relation-free graph construction, relying on lightweight entity recognition and semantic linking to achieve comprehensive contextual comprehension.
- Complex Reasoning. Enables deep retrieval via semantic bridging, achieving multi-hop reasoning in a single retrieval pass without requiring explicit relational graphs.
- High Scalability. Zero LLM token consumption, faster processing speed, and linear time/space complexity.
Get started
pip install -r requirements.txt
(Use Python 3.9 preferably)- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 567
- +1 this week
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 88% closed
- 3 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| microsoft / graphrag | 36,600 | 7 days ago | MIT | No downloads |
| RManLuo / gfm-rag | 313 | 2 months ago | Apache-2.0 | No downloads |
| chensyCN / LogicRAG | 241 | 3 months ago | GPL-3.0 | No downloads |
More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- graphrag
- llms
- rag
Project record
- JobRAG and search
- StatusListed
- Commits49
- Forks68
- Watching6
- Stars in 28 days+10
- CreatedOct 27, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026