PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

  • 类型:arxiv
  • 标识:2608.26091
  • 链接:http://arxiv.org/abs/2608.26091v1
  • 主分类:rag
  • 形态:benchmark
  • TLDR:Civil infrastructure compliance checking has long relied on engineers manually reading legacy 2D plans; however, OCR-based automation strips away the geometry and layout essential for interpreting these plans. We present a Visual-First Multimodal Retrieval-Augmented Generation (RAG) framework called PlanSightRAG. It indexes and reasons directly over plan imagery, integrates a ColNomic-3B multi-vector retrieval, an agentic Planner-Retriever-Auditor-Synthesizer, and MaxSim heatmaps as an evidence trail. We introduce a 4,056-pair benchmark from five state Departments of Transportation (DOT) stand
  • 副分类:multimodal
  • 待LLM分类:否
  • 来源文件
  • /inbox/tom/_candidates/2026-08-27-agent-rag-longcontext-candidates.json