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  This dataset contains the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset dump from 2023-11-01 from Wikipedia in all 300+ languages.
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- The individual articles have been chunked and embedded with the state-of-the-art multilingual [Cohere Embed V3 embedding model](https://txt.cohere.com/introducing-embed-v3/). This enables an easy way to semantically search across all of Wikipedia or to use it as a knowledge source for your RAG application.
 
 
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  ## Loading the dataset
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  This dataset contains the [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) dataset dump from 2023-11-01 from Wikipedia in all 300+ languages.
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+ The individual articles have been chunked and embedded with the state-of-the-art multilingual [Cohere Embed V3 embedding model](https://txt.cohere.com/introducing-embed-v3/). This enables an easy way to semantically search across all of Wikipedia or to use it as a knowledge source for your RAG application. In total is it close to 250M paragraphs / embeddings.
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+ You can also use the model to perform cross-lingual search: Enter your search query in any language and get the most relevant results back.
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  ## Loading the dataset
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