The KG-IRAG framework utilizes two LLMs, LLM1 and LLM2, to perform iterative retrieval-augmented generation. LLM1 identifies the initial plan (start time and location) and generates a reasoning prompt explaining the information required to answer the query. LLM2 evaluates whether the retrieved data, combined with the reasoning prompt, is sufficient to resolve the query or if further retrieval steps are required.

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 (1)

• KG-IRAG concept