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A new catalogue must be normalized without losing raw records or conflating identities.
May reduce repetitive classification work while preserving traceability.
A successful row count does not prove correct semantic mappings. Keep ambiguous cases visible.
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.
