> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lancedb.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Demo Application Gallery

> Demo apps showcasing end-to-end applications built with LanceDB for production use cases.

Explore the demo applications built with LanceDB below.

| App                                                         | Description                                                                                                  |
| ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| [Semantic.Art](#semantic-art)                               | A multimodal art discovery platform using feelings, phrases, and images.                                     |
| [Wikipedia 41M Hybrid Search](#wikipedia-41m-hybrid-search) | An interactive hybrid search demo combining full-text search and vector search.                              |
| [Video Search](#video-search)                               | A video search application that allows searching through a library of videos using natural language queries. |

## Semantic.art

<Badge color="green">multimodal</Badge>
<Badge color="red">hybrid-search</Badge>
<Badge color="purple">vector-search</Badge>
<Badge color="surface-destructive">semantic-routing</Badge>

<Card title="Semantic.art" img="https://mintcdn.com/lancedb-bcbb4faf/0sS6vrpmM3KSVyss/static/assets/images/demos/sda_hero.jpg?fit=max&auto=format&n=0sS6vrpmM3KSVyss&q=85&s=76bc1144d37f03ed6e9cd4435c621448" href="https://www.semantic.art/" width="2191" height="1172" data-path="static/assets/images/demos/sda_hero.jpg">
  Semantic.art turns real, human-made art discovery into a multimodal search experience using
  feelings, phrases, and images. It's built with LanceDB hybrid search and semantic routing.

  <Card title="Learn how it's built" href="https://lancedb.com/blog/semanticdotart/">
    Read in detail about how Semantic.art is built in this blog post.
  </Card>
</Card>

## Wikipedia 41M Hybrid Search

<Badge color="green">multimodal</Badge>
<Badge color="red">hybrid-search</Badge>
<Badge color="purple">vector-search</Badge>
<Badge color="gray">fts</Badge>

<Card title="Wikipedia 41M Hybrid Search" img="https://mintcdn.com/lancedb-bcbb4faf/0sS6vrpmM3KSVyss/static/assets/images/demos/wiki_hero.png?fit=max&auto=format&n=0sS6vrpmM3KSVyss&q=85&s=d6f6eb0788e4f270e26210d544c3ac0b" href="https://lancedb-demos.vercel.app/demo/wikipedia-search" width="2452" height="1410" data-path="static/assets/images/demos/wiki_hero.png">
  Interactive hybrid search, full-text search (FTS) and vector search demo with 41M+ Wikipedia entries.
  Explore the power of combining FTS with vector search for more relevant results.

  <Card title="Learn how it's built" href="https://lancedb.com/blog/feature-full-text-search/">
    Read in detail about how the Wikipedia 41M hybrid search demo is built in this blog post.
  </Card>
</Card>

## Video Search

<Badge color="green">multimodal</Badge>
<Badge color="orange">video-search</Badge>
<Badge color="purple">vector-search</Badge>

<Card title="Video Search" img="https://mintcdn.com/lancedb-bcbb4faf/0sS6vrpmM3KSVyss/static/assets/images/demos/video_demo_hero.png?fit=max&auto=format&n=0sS6vrpmM3KSVyss&q=85&s=5f1ddc031c810167bd897c11f022b59f" href="https://lancedb-demos.vercel.app/demo/video-search" width="2992" height="1634" data-path="static/assets/images/demos/video_demo_hero.png">
  Search through a library of videos using natural language queries. This demo showcases how to use LanceDB
  to perform semantic search on video content.
</Card>