Query-Time Entity Disambiguation in Graph RAG: When One Name Means Seventeen Nodes

The hardest retrieval problem in Graph RAG is not missing data. It is the query that arrives with an ambiguous entity name.

In 2asy.ai, a knowledge graph built on Korean corporate data, "Hyundai" matches seventeen separate nodes. A vector search returns all of them ranked by embedding similarity. A graph traversal needs exactly one starting node. The gap between these two realities is where Graph RAG quietly breaks.

The Setup: Where Disambiguation Fits in the Pipeline

In a standard Graph RAG pipeline, the flow is:

Parse the natural language query

Query-Time Entity Disambiguation in Graph RAG: When One Name Means Seventeen Nodes

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