The GraphRAG-FI method improves retrieval performance across two datasets, achieving an average improvement of 3.81% in Hit and 2.35% in F1 over the ROG retriever, 2.46% in Hit and 1.7% in F1 over the GNN-RAG retriever, and 7.47% in Hit and 4.88% in F1 over the SubgraphRAG retriever.

Authors

• Person: Not available Organization: arXiv
  Empowering GraphRAG with Knowledge Filtering and Integration

Sources

• Empowering GraphRAG with Knowledge Filtering and Integration arxiv.org arXiv via serper

Referenced by nodes (1)

• GraphRAG-FI concept