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Jack Ye
f475465590
The three gallery pages held thirteen examples as rows in a table, reachable
only by opening the gallery first. Each is now its own page, so the sidebar
lists them and search finds them by name.
A page for an example that lives in vectordb-recipes says so and links to the
notebook and its source, rather than pretending the tutorial is here.
Overview moves above the groups -- the tab uses pages rather than groups, which
is what allows an entry to sit outside every group. Stable World Model joins
Training, since that is what it is doing. The agent plugin page is now Using
LanceDB Agent Skill.
Mintlify cannot link outward from a sidebar: an {anchor, href} entry is ignored
and a bare URL renders with its scheme mangled to a single slash, so a real page
per example is the only way to list them.
43 lines
1.9 KiB
Plaintext
43 lines
1.9 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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Every example is one page in the sidebar, 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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Examples marked as notebooks live in the
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[vectordb-recipes](https://github.com/lancedb/vectordb-recipes) repository and
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are runnable in Colab; the rest are written up here.
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## Where to start {#start}
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<CardGroup cols={2}>
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<Card title="Search" icon="magnifying-glass" href="/tutorials/search/hybrid-search-beir">
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Vector, multi-vector, hybrid and full-text retrieval.
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</Card>
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<Card title="RAG" icon="robot" href="/tutorials/agents/contextual-rag">
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Retrieval-augmented generation and agent applications.
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</Card>
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<Card title="Feature engineering" icon="wand-magic-sparkles" href="/tutorials/feature-engineering/feature-engineering-101">
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Deriving columns, materialized views, experimenting on branches.
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</Card>
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<Card title="Training" icon="graduation-cap" href="/training/object-detection">
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Curating data and training models directly on a table.
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</Card>
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</CardGroup>
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## The features these use {#read-the-docs}
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| Feature | What it covers |
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|:--------|:------------|
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| [Vector search](/search/vector-search) | Similarity search, distance metrics, and tuning it. |
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| [Full-text search](/search/full-text-search) | Keyword search over text columns. |
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| [Hybrid search](/search/hybrid-search) | Keyword and vector search combined. |
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| [Multi-vector search](/search/multivector-search) | Several embeddings per document. |
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| [Reranking](/reranking) | Reordering results to improve the top-k. |
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| [Feature engineering](/feature-engineering) | Deriving columns and tables from data already stored. |
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| [Materialized views](/management/materialized-view) | A table defined by a query, refreshed incrementally. |
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| [Training](/training) | Reading a table into a data loader. |
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