AR

Ayanami0730/arag

A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.

240 31 +0/wk
GitHub
agent agentic-ai agenticrag deepresearch evaluation graphrag llm llmagents rag reproduce
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Star & Fork Trend (18 data points)

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Ayanami0730/arag has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric arag Agent-Framework-Samples agent-craft matharena
Stars 240 240239239
Forks 31 993829
Weekly Growth +0 +1+2+0
Language Python Jupyter NotebookPythonPython
Sources 1 111
License N/A MITMITMIT

Capability Radar vs Agent-Framework-Samples

arag
Agent-Framework-Samples
Maintenance Activity 69

Last code push 61 days ago.

Community Engagement 65

Fork-to-star ratio: 12.9%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.