Vector search treats every chunk as independent. GraphRAG models the relationships between entities, communities, and concepts. For corpus-spanning questions ("what's the relationship between X and Y"), graph wins.
BigQuery has had a built-in knowledge graph since 2024. For entity resolution across millions of rows — the "is this John Smith the same as that John Smith" problem — it's the cheapest tool I've found.