Large Language Models in the RAG framework

In the presentation for the Centraal Bureau voor de Statistiek (CBS), LLM integration with knowledge graphs in the RAG network was introduced, with use cases from the ODISSEI project. DANS-KNAW is collaborating with other partners on ML Croissant to produce AI-ready data suitable for training by popular ML frameworks that support Croissant. After successfully integrating Croissant into their Dataverse platform, the ODISSEI portal will offer users enhanced capabilities, including LLM support and more accurate semantic search.

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Publication Details

Journal
KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)
Published
2025-02-07
DOI
https://doi.org/10.5281/zenodo.14836297
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Large Language Models in the RAG framework

KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)
Natural Language Processing Techniques
article

Large Language Models in the RAG framework

article en

Abstract

In the presentation for the Centraal Bureau voor de Statistiek (CBS), LLM integration with knowledge graphs in the RAG network was introduced, with use cases from the ODISSEI project. DANS-KNAW is collaborating with other partners on ML Croissant to produce AI-ready data suitable for training by popular ML frameworks that support Croissant. After successfully integrating Croissant into their Dataverse platform, the ODISSEI portal will offer users enhanced capabilities, including LLM support and more accurate semantic search.

KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)
Royal Netherlands Academy of Arts and Sciences (NL)
Openalex Percentile: Top 77%
Natural Language Processing Techniques
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Large Language Models in the RAG framework · KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (2025) | TGRS Research Map | TGRS