The KG-RAG (Knowledge Graph-Retrieval Augmented Generation) pipeline is a framework designed to enhance the knowledge capabilities of Large Language Model Agents by integrating structured Knowledge Graphs with Large Language Model functionalities, thereby reducing reliance on the latent knowledge of the models.

Authors

• Person: Not available Organization: arXiv
  KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv

Sources

• KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv via serper
• KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• knowledge graphs concept
• Large Language Model Agents concept