TLDR Tech / Data
From Data Catalogs to GraphRAG-Ready Data Product Portfolios
GraphRAG is pushing enterprise AI beyond vector search by using explicit relationships between data products, entities, objectives, KPIs, and use cases. Traditional catalogs are insufficient because they stop at discovery, while AI assistants need machine-readable business context to answer portfolio questions like ownership, fit-for-purpose, and coverage gaps. Catalogs will organize the portfolio, graphs will connect it, and AI assistants will use the graph to reason across it.
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