AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes SkillGrain, a framework for learning reusable personalized skills from user feedback that decomposes feedback into independently actionable rules, predicts their transferability, and retains only those suitable for future requests.
Experiments demonstrate that PAGE-RAG achieves competitive answer quality while improving retrieval efficiency and knowledge reliability, highlighting the importance of projection-aware graph modeling, adaptive retrieval, and explicit knowledge boundary control for trustworthy GraphRAG systems.
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