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
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-07
DOI
https://doi.org/10.5281/zenodo.14836298
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Large Language Models in the RAG framework

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

Large Language Models in the RAG framework

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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.

Zenodo (CERN European Organization for Nuclear Research)
Royal Netherlands Academy of Arts and Sciences (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Natural Language Processing Techniques
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Large Language Models in the RAG framework · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS