The KG-RAG pipeline creates a knowledge graph, computes embeddings for all nodes, hypernodes, and relationships, and stores them in a vector database with corresponding metadata to enable dense vector similarity search during the retrieval stage.

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 (2)

• Knowledge Graph concept
• vector database concept