Augmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management

dc.contributor.authorKrütli, David
dc.contributor.mentorHanne, Thomas
dc.date.accessioned2025-04-30T07:27:17Z
dc.date.issued2024
dc.description.abstractThis 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.urihttps://irf.fhnw.ch/handle/11654/51120
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleAugmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Sciencede_CH
relation.isMentorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isMentorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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