LLM-assisted Graph-RAG Information Extraction from IFC Data
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866912343437344768 |
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| author | Iranmanesh, Sima Saadany, Hadeel Vakaj, Edlira |
| author_facet | Iranmanesh, Sima Saadany, Hadeel Vakaj, Edlira |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_16813 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LLM-assisted Graph-RAG Information Extraction from IFC Data Iranmanesh, Sima Saadany, Hadeel Vakaj, Edlira Computation and Language 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. |
| title | LLM-assisted Graph-RAG Information Extraction from IFC Data |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2504.16813 |