📄️ Semantic Model
The SemanticModel is the core class in intugle. It orchestrates the entire process of profiling, link prediction, and glossary generation to build a unified semantic layer over your data.
📄️ DataSet
The DataSet class is the heart of the semantic model pipeline. It acts as a powerful, in-memory container for a single data source, holding the raw data and all the rich metadata the SemanticModel's workflow generates about it.
📄️ Semantic Search
Semantic search transforms how you find and explore your data. Instead of relying on exact keyword matches, it allows you to search your entire connected data landscape using natural language. This feature understands the meaning and context behind your query, making it possible to discover relevant data assets even if you don't know their exact names or technical details.
📄️ Link Prediction
Link prediction is one of the most powerful features of the Intugle Data Tools library. It's the process of automatically discovering meaningful relationships and potential join keys between different, isolated datasets. This turns a collection of separate tables into a connected semantic graph, which is the foundation for building unified data products. The library now supports the prediction of composite key relationships, where multiple columns together form a link between tables.