AI engineering glossary · RAG vector search
What is graphRAG?
GraphRAG: A family of RAG methods that build a knowledge graph of entities and relationships from documents, often with summaries of graph communities, and retrieve from it. It suits questions about connections or themes across many documents.
GraphRAG: an example
From 1,000 news articles, a graph links companies to their founders and investors, letting the system answer 'which investors back both startups?'.
Related terms
More RAG vector search terms
- Hallucination
- Hamming distance
- Hierarchical chunking
- HNSW
- Hybrid search
- HyDE
- Index refresh
- Ingestion pipeline
Where you learn it
GraphRAG is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.