The proposed technique for knowledge-graph-enhanced LLMs avoids the brittleness of using a single, monolithic Cypher query by implementing a layer based on question decomposition and structured step-wise guidance generation. This agent breaks down each query into a sequence of analytical steps, where each step involves targeted Cypher query formulation, execution, and an immediate self-reflection phase to assess and refine the output before proceeding.

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 (3)

• LLM-as-a-judge concept
• knowledge-graph-enhanced LLM concept
• Cypher concept