This research presents a novel framework that enhances LLMs for telecommunications applications by combining knowledge graphs with retrieval-augmented generation techniques.

• Addresses LLMs' limitations in specialized domains requiring technical expertise
• Leverages structured knowledge graphs to provide domain context
• Implements retrieval-augmented generation to improve response accuracy
• Creates a more adaptive system for evolving telecom standards

For engineering teams, this framework offers a practical approach to deploy more reliable AI solutions in complex technical domains where specialized knowledge is critical for system performance.

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation