Aligning Large Language Models to a Domain-specific Graph Database

arXiv:2402.16567v1 Announce Type: new
Abstract: Graph Databases (Graph DB) are widely applied in various fields, including finance, social networks, and medicine. However, translating Natural Language (NL) into the Graph Query Language (GQL), commonly known as NL2GQL, proves to be challenging due to its inherent complexity and specialized nature. Some approaches have sought to utilize Large Language Models (LLMs) to address analogous tasks like text2SQL. Nevertheless, when it comes to NL2GQL taskson a particular domain, the absence of domain-specific NL-GQL data …

abstract arxiv complexity cs.ai cs.cl cs.db database databases domain fields finance graph graph database graph databases language language models large language large language models medicine natural natural language nature networks query query language social social networks type