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The author argues that GraphRAG is fundamentally a data modeling problem rather than just a retrieval algorithm, proposing a five-component architecture using ontologies, knowledge graphs, and an MCP server for unified agent memory.
The article reframes columnar storage as an extreme form of database normalization, showing how splitting attributes into position-aligned arrays mirrors normalized tables joined on an implicit ordinal primary key.