Augmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management
dc.contributor.author | Krütli, David | |
dc.contributor.mentor | Hanne, Thomas | |
dc.date.accessioned | 2025-04-30T07:27:17Z | |
dc.date.issued | 2024 | |
dc.description.abstract | This master’s thesis explores the enhancement of large language models for secure information retrieval within the context of corporate real estate management. Facility managers often face challenges accessing critical data scattered across various documents, including manuals and operation instructions. This thesis introduces a retrieval-augmented generation system tailored to the dynamic needs of facility management, aiming to provide instant, accurate access to essential information. | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/51120 | |
dc.language.iso | en | |
dc.publisher | Hochschule für Wirtschaft FHNW | |
dc.spatial | Olten | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Augmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management | |
dc.type | 11 - Studentische Arbeit | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.StudentsWorkType | Master | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Master of Science | de_CH |
relation.isMentorOfPublication | 35d8348b-4dae-448a-af2a-4c5a4504da04 | |
relation.isMentorOfPublication.latestForDiscovery | 35d8348b-4dae-448a-af2a-4c5a4504da04 |