Step 1
Index documents and map entities to your graph.
Graph RAG
Graph RAG combines retrieval-augmented generation with graph traversal. Instead of fetching isolated chunks, you retrieve connected facts, entities, and evidence paths so answers are more complete and trustworthy.
How Graph RAG Improves Results
- Finds supporting context around each retrieved node.
- Improves answer consistency for relationship-heavy questions.
- Supplies auditable paths that explain why an answer was produced.
- Reduces hallucinations with structure-aware retrieval.
Step 2
Retrieve seed facts, then expand through relevant graph neighborhoods.
Step 3
Generate with cited context and relation-level evidence.