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https://github.com/lancedb/lancedb.git
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Jack Ye
6fa96a1a23
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.
28 lines
1.2 KiB
Plaintext
28 lines
1.2 KiB
Plaintext
---
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title: "Use cases"
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sidebarTitle: "Overview"
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description: "Worked examples of building with LanceDB, by what you are building."
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---
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Each page here is one worked example, grouped by what it builds. The
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documentation explains how a feature works; these show it doing something.
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| [Search](/tutorials/search/multivector-needle-in-a-haystack) | Vector, multi-vector, hybrid and full-text retrieval. |
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| [RAG](/tutorials/agents/nvidia-rag-blueprint/) | Retrieval-augmented generation and agent applications. |
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| [Feature engineering](/tutorials/feature-engineering/) | Deriving columns, materialized views, and experimenting on branches. |
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| [Training](/training/object-detection) | Curating data and training models directly on a table. |
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Each category also has a **More examples** page collecting runnable notebooks
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that live in the recipes repository rather than here.
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## Recipes {#recipes}
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If you are looking for ideas and hands-on code, the repository below collects
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practical projects beyond the ones documented here.
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<Card icon="code" title="VectorDB recipes" href="https://github.com/lancedb/vectordb-recipes">
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Past code examples and tutorials on GitHub.
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</Card>
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