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docs/getting-started/example-datasets/laion5b.md

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## Introduction {#introduction}
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The [LAION 5b dataset](https://laion.ai/blog/laion-5b/) contains 5.85 billion image-text embeddings and
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associated image metadata. The embeddings were generated using `Open AI CLIP` model `ViT-L/14`. The
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associated image metadata. The embeddings were generated using `Open AI CLIP` model [ViT-L/14](https://huggingface.co/sentence-transformers/clip-ViT-L-14). The
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dimension of each embedding vector is `768`.
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This dataset can be used to model design, sizing and performance aspects for a large scale,
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<Image img={search_results_image} alt="Vector Similarity Search Results" size="md"/>
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</VerticalStepper>

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