The iterative reasoning process for temporal queries in KG-IRAG functions as follows: (1) after each retrieval of triplets, LLM2 evaluates if the current set of triplets combined with the reasoning prompt from LLM1 is sufficient to answer the query, (2) if LLM2 determines the data is insufficient, the system shifts to a different time or location to refine search parameters, and (3) this process repeats until LLM2 confirms the query can be resolved.

Authors

• Person: Not available Organization: arXiv
  KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented ...

Sources

• KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented ... arxiv.org arXiv via serper

Referenced by nodes (2)

• KG-IRAG concept
• iterative reasoning concept