AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DeCoRAG is a multimodal Graph RAG pipeline that shifts knowledge processing from coupled visual-semantic reasoning to cognitive Decoupling, and subsequently drives the reasoning space from dense, noisy backgrounds to purified, intent-driven semantic clusters.
This work proposes Knowledge Access Planning (KAP), a paradigm-shifting execution abstraction that elevates structured knowledge priors from passive prompt-construction hints into first-class physical execution artifacts, and derives a phase-boundary model for the positive-speedup regime of plan-guided execution.
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