> ## 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. |
| [Large Scale Vector Search (1.5B)](#large-scale-vector-search-1-5b) | A semantic search demo over 1.5B+ FineWeb EDU embeddings. |
| [Robot Data Curation (DROID)](#robot-data-curation-droid) | A robotics data curation workflow for searching, scoring, and selecting training examples. |

## Semantic.art

multimodalhybrid-searchvector-searchsemantic-routing

> **[Semantic.art](https://www.semantic.art/)**
>
> 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.
>
> > **[Learn how it's built](https://lancedb.com/blog/semanticdotart/)**
> >
> > Read in detail about how Semantic.art is built in this blog post.

## Wikipedia 41M Hybrid Search

multimodalhybrid-searchvector-searchfts

> **[Wikipedia 41M Hybrid Search](https://lancedb-demos.vercel.app/demo/wikipedia-search)**
>
> 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.
>
> > **[Learn how it's built](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.

## Video Search

multimodalvideo-searchvector-search

> **[Video Search](https://lancedb-demos.vercel.app/demo/video-search)**
>
> Search through a library of videos using natural language queries. This demo showcases how to use LanceDB
> to perform semantic search on video content.

## Large Scale Vector Search (1.5B)

vector-searcheducationbge-embeddings

> **[Large Scale Vector Search (1.5B)](https://lancedb-demos.vercel.app/demo/fineweb-edu-search)**
>
> Semantic search over curated FineWeb EDU pages, represented as 1.5B+ BGE embeddings. Inspect the
> query plan to see how LanceDB serves vector search at billion scale.

## Robot Data Curation (DROID)

multimodalroboticsvector-searchfts

> **[Robot Data Curation (DROID)](https://lancedb-demos.vercel.app/demo/robot-data-curation)**
>
> Search robot video frames from the DROID dataset, compute features, and select training examples in LanceDB.
> Add captions and quality scores as columns, then write model errors back to guide the next training run.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.