| License: Creative Commons Attribution 4.0 PDF - Published Version (1MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-596950
- DOI to cite this document:
- 10.5283/epub.59695
Abstract
Based on their ability to efficiently and intuitively represent real-world relationships and structures, graph databases are gaining increasing popularity. In this context, this paper proposes an innovative integration of a Large Language Model into NoSQL databases and Knowledge Graphs to bridge the gap in field of Text-to-Cypher queries, focusing on Neo4j. Using the Design Science Research ...

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