GraphRAG is a retrieval-augmented generation (RAG) technique that incorporates a knowledge graph to enhance language model responses, either alongside or in addition to traditional vector search.

Authors

• Person: Not available Organization: Neo4j
  How to Improve Multi-Hop Reasoning With Knowledge Graphs and ...
• Person: Not available Organization: arXiv
  Unlocking the Potential of Generative AI through Neuro-Symbolic ...
• Person: Not available Organization: Semantic Scholar
  HybridRAG: Integrating Knowledge Graphs and Vector Retrieval ...

Sources

• How to Improve Multi-Hop Reasoning With Knowledge Graphs and ... neo4j.com Neo4j via serper
• Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv via serper
• HybridRAG: Integrating Knowledge Graphs and Vector Retrieval ... www.semanticscholar.org Semantic Scholar via serper

Referenced by nodes (4)

• Knowledge Graph concept
• Retrieval-Augmented Generation (RAG) concept
• Language Model concept
• vector search concept