mlsanityData to 7 Oct 2026

SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance

arXiv 2505.02306 ↗First posted 5 May 2025cs.AIcited by 1

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Abstract (arXiv)

Despite the abundance of public safety documents and emergency protocols, most individuals remain ill-equipped to interpret and act on such information during crises. Traditional emergency decision support systems (EDSS) are designed for professionals and rely heavily on static documents like PDFs or SOPs, which are difficult for non-experts to navigate under stress. This gap between institutional knowledge and public accessibility poses a critical barrier to effective emergency preparedness and response. We introduce SafeMate, a retrieval-augmented AI assistant that delivers accurate, context-aware guidance to general users in both preparedness and active emergency scenarios. Built on the Model Context Protocol (MCP), SafeMate dynamically routes user queries to tools for document retrieval, checklist generation, and structured summarization. It uses FAISS with cosine similarity to identify relevant content from trusted sources.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 5 May 2025.

Builds on

7 of 23 references.

References · 7

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,205
  3. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  4. 2024RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrievalcited by 519
  5. 2024Large Language Models for Education: A Survey and Outlookcited by 185
  6. 2024From Text to Transformation: A Comprehensive Review of Large Language Models' Versatilitycited by 19
  7. 2023Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Modelscited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026GeoRisk-RAG: A Hierarchy-Aware Risk Framework for Improving RAG Reliability through Selective Answeringcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports
  2. 2025Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety
  3. 2026SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
  4. 2025Towards Automated Safety Requirements Derivation Using Agent-based RAG
  5. 2025Aetheria: A multimodal interpretable content safety framework based on multi-agent debate and collaboration
  6. 2025A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
  7. 2025Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports
  8. 2025AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents