SparqLLM, a framework proposed by Arazzi et al. (2025), investigates the use of Retrieval-Augmented Generation (RAG) and query templates to improve the reliability of Large Language Model interactions with Knowledge Graphs in industrial settings.

Authors

• Person: Not available Organization: arXiv
  Leveraging Knowledge Graphs and LLM Reasoning to Identify ...

Sources

• Leveraging Knowledge Graphs and LLM Reasoning to Identify ... arxiv.org arXiv via serper

Referenced by nodes (2)

• knowledge graphs concept
• Retrieval-Augmented Generation (RAG) concept