Examples
For a detailed, hands-on introduction to the project, please see our quickstart notebooks. They provide a complete walkthrough of the library's capabilities using real-world datasets.
| Domain | Notebook | Open in Colab |
|---|---|---|
| Healthcare | quickstart_healthcare.ipynb |  |
| Tech Manufacturing | quickstart_tech_company.ipynb | |
| FMCG | quickstart_fmcg.ipynb | |
| Sports Media | quickstart_sports_media.ipynb | |
| Databricks Unity Catalog [Health Care] | quickstart_healthcare_databricks.ipynb | Databricks Notebook Only |
These notebooks will guide you through the following key steps:
- Building a Knowledge Base: Use the
KnowledgeBuilderto automatically profile your data, generate a business glossary, and predict links between tables. - Accessing Enriched Metadata: Learn how to access the profiling results and business glossary for each dataset.
- Visualizing Relationships: Visualize the predicted links between your tables.
- Generating Data Products: Use the semantic layer to generate data products and retrieve data.
- Searching the Knowledge Base: Use semantic search to find relevant columns in your datasets using natural language.