claim
GraphRAG is a retrieval-augmented generation (RAG) technique that utilizes a knowledge graph to enhance the accuracy, context, and explainability of responses generated by large language models (LLMs).
Authors
Sources
- How to Improve Multi-Hop Reasoning With Knowledge Graphs and ... neo4j.com via serper
- KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented ... arxiv.org via serper
Referenced by nodes (3)
- Large Language Models concept
- Knowledge Graph concept
- Retrieval-Augmented Generation (RAG) concept