📄️ Core concepts
This section dives deep into the fundamental components and architectural ideas that power the Intugle Data Tools library.
📄️ Knowledge Builder
The KnowledgeBuilder is the primary orchestrator of the data intelligence pipeline. It's the main user-facing class that manages many data sources and runs the end-to-end process of transforming them from raw, disconnected tables into a fully enriched and interconnected semantic layer.
📄️ DataSet
The DataSet class is the heart of the analysis pipeline. It acts as a powerful, in-memory container for a single data source, holding the raw data and all the rich metadata the KnowledgeBuilder's workflow generates about it.
🗃️ Data Product
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📄️ 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.
📄️ 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.