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Useful notes and links are difficult to retrieve when you need them.
May make a growing collection easier to navigate.
Automatic grouping can hide minority topics or conflate different meanings. Keep source material and reversible mappings.
This is an illustrative workflow, not a measured customer deployment or a guaranteed outcome.
Load and transform datasets with a consistent library interface. Useful for building repeatable data preparation and evaluation pipelines.
Store vector embeddings alongside relational data, then combine similarity matching with ordinary database filters. A practical starting point for semantic and hybrid search.
