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The linked article is about the limitations of vector databases and why they may not be the best abstraction for certain use cases. It argues that vector databases, while good for certain tasks like image classification, may not be suitable for more complex queries or analyses that require flexible data models and general-purpose querying capabilities. The article suggests that a better approach may be to use a time series database or a hybrid database that combines the strengths of different data models.