The KG-RAG method, proposed by Xu et al. in 2024, utilizes vector-based subgraph retrieval with the GPT-4 language model, incorporating self-constructed knowledge graphs to perform KGQA tasks on a curated dataset, evaluated using MRR, Recall@K, NDCG@K, BLEU, ROUGE, and METEOR metrics.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (1)

• GPT-4 concept