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Brendan Clement
198812fd53
The existing docs have 254 findings from our shared Vale rules. Contributors would otherwise inherit these when editing the same lines. Clean up the prose across 80 pages: correct product names and a repeated word, simplify a few phrases, and replace dashes with punctuation that fits each sentence. The pinned Vale scan now reports zero findings, with no suppressions.
25 lines
1007 B
Plaintext
25 lines
1007 B
Plaintext
---
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title: "Semantic search across videos"
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sidebarTitle: "Video Search"
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description: "Embed video with V-JEPA and search it by similarity."
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---
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Builds a video search application on V-JEPA (Video Joint Embedding Predictive
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Architecture). Generates vector embeddings for video content and uses
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[vector search](/search/vector-search) to find visually similar clips: a
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multimodal case where the searchable column is not text.
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<Note>
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This example is a runnable notebook in the
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[vectordb-recipes](https://github.com/lancedb/vectordb-recipes) repository rather than a page here.
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</Note>
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<CardGroup cols={2}>
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<Card title="Open in Colab" icon="google" href="https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/v-jepa-video-search/intra-video.ipynb">
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Run it end to end in the browser.
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</Card>
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<Card title="View on GitHub" icon="github" href="https://github.com/lancedb/vectordb-recipes/tree/main/examples/v-jepa-video-search">
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Read the source.
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</Card>
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</CardGroup>
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