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Luis Cossío
2025-03-24 18:27:15 +01:00
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qdrant-landing/content/documentation/database-tutorials/large-scale-search.md
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@@ -23,7 +23,7 @@ The recommended Qdrant version for this tutorial is `v1.13.5` and higher.
## Dataset
The dataset we will use is [LAION-400M](https://laion.ai/blog/laion-400-open-dataset/), a collection of approximately 400 vectors obtained from
The dataset we will use is [LAION-400M](https://laion.ai/blog/laion-400-open-dataset/), a collection of approximately 400 million vectors obtained from
images extracted from a Common Crawl dataset. Each vector is 512-dimensional and generated using a [CLIP](https://openai.com/blog/clip/) model.
Vectors are associated with a number of metadata fields, such as `url`, `caption`, `LICENSE`, etc.