Current Retrieval-Augmented Generation (RAG) implementations rely on dense vector similarity search, which partitions corpora into text chunks, but this method is inadequate for complex queries.

Authors

• Person: Not available Organization: arXiv
  KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv

Sources

• KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv via serper

Referenced by nodes (1)

• Retrieval-Augmented Generation (RAG) concept