Jupyter Notebook · Apache-2.0
BaranziniLab/KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
★ 948
Stars
115 forks · 7 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
9.7
Momentum / 100
see the breakdown below
2y ago
Created
last push 24mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 24mo ago; decays to zero at 180 days |
| Scale | 15 | 8.6 | 948 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 9.7 | sum of the above |
Detail
| Topics | bert-modelsbioinformaticsbioinformatics-algorithmsbiomedical-applicationsbiomedical-informaticscontext-awaregptgpt35turbogpt4knowledge-baseknowledge-graphlarge-language-modelsllamallama2llmprompt-engineeringprompt-tuningragretrieval-augmented-generationsentence-transformers |
| Matched on | RAG (retrieval-augmented-generation) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 0.87 stars/day over 1,090 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |