mlsanityData to 7 Oct 2026

LLM-assisted Graph-RAG Information Extraction from IFC Data

arXiv 2504.16813 ↗First posted 23 Apr 2025cs.CLcited by 3

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Abstract (arXiv)

IFC data has become the general building information standard for collaborative work in the construction industry. However, IFC data can be very complicated because it allows for multiple ways to represent the same product information. In this research, we utilise the capabilities of LLMs to parse the IFC data with Graph Retrieval-Augmented Generation (Graph-RAG) technique to retrieve building object properties and their relations. We will show that, despite limitations due to the complex hierarchy of the IFC data, the Graph-RAG parsing enhances generative LLMs like GPT-4o with graph-based knowledge, enabling natural language query-response retrieval without the need for a complex pipeline.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 14 of its 39 references that are in the map. First posted on arXiv 23 Apr 2025.

Builds on

14 of 39 references.

References · 14

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2024GPT-4o System Cardcited by 4,467
  5. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  6. 2024Qwen2-Audio Technical Reportcited by 543
  7. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 450
  8. 2024Graph Retrieval-Augmented Generation: A Surveycited by 320
  9. 2023Language is All a Graph Needscited by 219
  10. 2022Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answeringcited by 126
  11. 2024Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generationcited by 89
  12. 2023Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofittingcited by 70
2 more
  1. 2023BIM-GPT: a Prompt-Based Virtual Assistant Framework for BIM Information Retrievalcited by 12
  2. 2024A natural-language-based approach to intelligent data retrieval and representation for cloud BIMcited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property Graphscited by 5
  2. 2025An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidancecited by 0
  3. 2026Reinforcement learning to improve large language model-based automated code compliance systemscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM
  2. 2025In-depth Analysis of Graph-based RAG in a Unified Framework
  3. 2025MCP4IFC: IFC-Based Building Design Using Large Language Models
  4. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
  5. 2026IfcLLM: Natural Language Querying of IFC Models through Complementary Relational and Graph Representations
  6. 2025AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
  7. 2025A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
  8. 2025NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes