What is GraphRAG?
Verified 5 August 2026
Conventional RAG retrieves chunks independently, which fails on questions requiring several documents to be connected — "who influenced whom", "what evidence supports this". GraphRAG extracts entities and relationships into a graph and retrieves neighbourhoods, communities or paths.
The standard implementations — Microsoft GraphRAG, Neo4j — build the graph over *your* documents: you supply the corpus, run extraction, and operate the infrastructure. That is substantial work before the first query.
A web-scale search API that ships a graph over the open web removes the ingestion step entirely. That is unusual: as of 2026, graph traversal over arbitrary web documents is largely unavailable as a product.
How unlob handles this: Coverage graph
Common questions
What is GraphRAG?
GraphRAG is retrieval-augmented generation over a knowledge graph, retrieving connected subgraphs of entities and relationships rather than isolated text chunks.
How does GraphRAG work in practice?
The standard implementations — Microsoft GraphRAG, Neo4j — build the graph over *your* documents: you supply the corpus, run extraction, and operate the infrastructure. That is substantial work before the first query.
See it working
The free tier is 10,000 requests a month with no card — enough to test any of this against your own queries.