iMoonLab

Hyper-RAG

"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du, Nanning Zheng, Han Hu, and Yue Gao.

Community Project Python
312 stars via github-search
View on GitHub

Growth we measured

6 daily star snapshots stored by whatstrending.ai, 2026-08-09 to 2026-08-14. GitHub shows today's number; this is the movement behind it.

313311
2026-08-09 — 311 stars2026-08-10 — 311 stars2026-08-11 — 311 stars2026-08-12 — 311 stars2026-08-13 — 313 stars2026-08-14 — 313 stars
2026-08-096 stored snapshots2026-08-14
Stars313our snapshot on 2026-08-14
7-day paceno data yettracked for 5 days so far
30-day paceno data yettracked for 5 days so far
Trajectorynot enough historyneeds a short and a long measured window
First recorded2026-08-096 snapshots across 5 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 6 snapshots for iMoonLab/Hyper-RAG between 2026-08-09 and 2026-08-14. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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iMoonLab/Hyper-RAG is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.

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