mirror of
https://github.com/lancedb/lancedb.git
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Jack Ye
b21fb2a4dc
The pages describing this code lived in lancedb/docs, a repository with ten stars that neither contributing guide mentioned. A user who hit a wrong page while reading the source had to find a separate, near-invisible repository to fix it. These 102 pages now sit beside the code, and a documentation fix is a pull request in the repository the reader already had open. `docs/web` is a complete Mintlify site: `cd docs/web && mint dev` serves it with no other checkout. Enterprise pages stay private and are merged in when the published site is assembled, so links into them do not resolve here — every open-source page does. `docs/web-tests` holds the tests the code examples are extracted from. They ran against a published wheel before; here they can run against this repository's own SDK, so an example that stops compiling fails the pull request that broke it rather than being noticed later. Both directories sit beside `docs/src` and are invisible to it: mkdocs reads `docs_dir: src`, so the SDK reference builds and deploys exactly as before.
78 lines
2.5 KiB
Plaintext
78 lines
2.5 KiB
Plaintext
---
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title: "Demo Application Gallery"
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sidebarTitle: "App Gallery"
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description: "Demo apps showcasing end-to-end applications built with LanceDB for production use cases."
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---
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Explore the demo applications built with LanceDB below.
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App | Description
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--- | ---
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[Semantic.Art](#semantic-art) | A multimodal art discovery platform using feelings, phrases, and images.
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[Wikipedia 41M Hybrid Search](#wikipedia-41m-hybrid-search) | An interactive hybrid search demo combining full-text search and vector search.
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[Video Search](#video-search) | A video search application that allows searching through a library of videos using natural language queries.
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## Semantic.art {#semantic-art}
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<Badge color="green">multimodal</Badge>
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<Badge color="red">hybrid-search</Badge>
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<Badge color="purple">vector-search</Badge>
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<Badge color="surface-destructive">semantic-routing</Badge>
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<Card
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title="Semantic.art"
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img="/static/assets/images/demos/sda_hero.jpg"
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href="https://www.semantic.art/"
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>
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Semantic.art turns real, human-made art discovery into a multimodal search experience using
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feelings, phrases, and images. It's built with LanceDB hybrid search and semantic routing.
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<Card
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title="Learn how it's built"
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href="https://lancedb.com/blog/semanticdotart/"
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>
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Read in detail about how Semantic.art is built in this blog post.
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</Card>
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</Card>
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## Wikipedia 41M Hybrid Search {#wikipedia-41m-hybrid-search}
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<Badge color="green">multimodal</Badge>
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<Badge color="red">hybrid-search</Badge>
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<Badge color="purple">vector-search</Badge>
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<Badge color="gray">fts</Badge>
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<Card
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title="Wikipedia 41M Hybrid Search"
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img="/static/assets/images/demos/wiki_hero.png"
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href="https://lancedb-demos.vercel.app/demo/wikipedia-search"
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>
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Interactive hybrid search, full-text search (FTS) and vector search demo with 41M+ Wikipedia entries.
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Explore the power of combining FTS with vector search for more relevant results.
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<Card
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title="Learn how it's built"
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href="https://lancedb.com/blog/feature-full-text-search/"
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>
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Read in detail about how the Wikipedia 41M hybrid search demo is built in this blog post.
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</Card>
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</Card>
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## Video Search {#video-search}
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<Badge color="green">multimodal</Badge>
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<Badge color="orange">video-search</Badge>
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<Badge color="purple">vector-search</Badge>
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<Card
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title="Video Search"
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img="/static/assets/images/demos/video_demo_hero.png"
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href="https://lancedb-demos.vercel.app/demo/video-search"
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>
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Search through a library of videos using natural language queries. This demo showcases how to use LanceDB
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to perform semantic search on video content.
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</Card> |