GEMS-RAG: graph-grounded engineering multimodal standards retrieval-augmented generation
Read the original at arxiv.org→arXiv:2610.33277v1 Announce Type: new Abstract: Engineering standards are challenging knowledge sources for large language models (LLMs) because they are hierarchical, multimodal, and densely connected through...
Original headline: "GEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation"
Coverage timeline
- Oct 27, 04:00 UTC arXiv cs.AI lead source GEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation