AI RESEARCH
TechGraphRAG: An Agentic Graph-Augmented RAG Framework for Technical Literature Reasoning
arXiv CS.AI
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ArXi:2606.01613v1 Announce Type: cross This paper presents an agentic retrieval-augmented generation (RAG) framework for domain-specific technical reasoning, instantiated over a curated corpus of approximately 2,100 academic papers in intelligent tires, vehicle dynamics, and vehicle control.