Real-Time Text-to-Cypher Query Generation with Large Language Models for Graph Databases

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...

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Библиографические подробности

Главные авторы:	Markus Hornsteiner, Michael Kreussel, Christoph Steindl, Fabian Ebner, Philip Empl, Stefan Schönig
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-11-01
Серии:	Future Internet
Предметы:	chatbot ChatGPT cypher language graph database knowledge graphs LLM
Online-ссылка:	https://www.mdpi.com/1999-5903/16/12/438
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