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The tab is Use Cases now, grouped General, Search, RAG, Feature Engineering, Training, World Models -- one page per example, named for the example rather than for its position in a tree. The gallery pages that listed external notebooks become the More Examples entry of the category they belong to, instead of standing in front of the real tutorials. The top-level overview stops linking to itself through three levels of index page and names the categories directly. Branch experiments move to Feature Engineering, which is what they are an experiment in. The agent plugin leads General, since it applies to everything else in the tab. LeRobotDataset moves to the Datasets tab, where the LeRobot datasets already are, and Robotics moves to the top of that tab.
23 lines
1.8 KiB
Plaintext
23 lines
1.8 KiB
Plaintext
---
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title: "More feature engineering examples"
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sidebarTitle: "More Examples"
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description: "Notebooks covering derived features and materialized views."
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layout: wide
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---
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| Example | Description |
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|--------|:------------|
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| **Feature Engineering 101** <br /> <a href="https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/feature-engineering/feature-engineering-101.ipynb" rel="noreferer, ,noopener" target="_blank"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" /></a> [View on GitHub](https://github.com/lancedb/vectordb-recipes/tree/main/tutorials/feature-engineering/feature-engineering-101.ipynb) | This example demonstrates how to use LanceDB's feature engineering platform to add new derived features.
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| **Materialized Views** <br /> <a href="https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/tutorials/feature-engineering/materialized-views.ipynb" rel="noreferer, ,noopener" target="_blank"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" /></a> [View on GitHub](https://github.com/lancedb/vectordb-recipes/tree/main/tutorials/feature-engineering/materialized-views.ipynb) | This example shows how to create materialized views: query results persisted as physical tables.
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## Read the docs {#read-the-docs}
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The relevant section of the documentation are listed below.
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| Feature | Description |
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|:--------|:------------|
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| [Feature engineering](/feature-engineering) | The three ways to derive columns and tables. |
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| [Materialized views](/feature-engineering/materialized-views) | Derive a table from a query and refresh it incrementally. |
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| [Computed columns](/feature-engineering/add-computed-column) | Declare a column from an expression and fill it. |
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