GraphRAG
A RAG approach that builds a knowledge graph from text, summarizes communities, and uses those structures during a query instead of vector search alone.
On this page
Source content checked . English translation published 2026-10-27.
In business automation
GraphRAG builds a knowledge graph from raw text, extracts entities and relationships, groups communities, creates summaries and uses those structures during queries.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Document repository
A query can use community summaries and connected entities instead of relying only on similar text fragments.
Relevant tools
- LlamaIndex
- Compare the GraphRAG approach with the knowledge retrieval tools in the stack before choosing an implementation.
What to check
- Index construction can cost more than basic RAG, and entity extraction depends on the model and instructions.