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  [![GitHub](https://img.shields.io/badge/GitHub-colpali-181717?logo=github)](https://github.com/adithya-s-k/colpali)
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  [![Model](https://img.shields.io/badge/🤗%20HuggingFace-Model-yellow)](https://huggingface.co/Cognitive-Lab/ColNetraEmbed)
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  [![Blog](https://img.shields.io/badge/Blog-CognitiveLab-blue)](https://www.cognitivelab.in/blog/introducing-netraembed)
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- [![Demo](https://img.shields.io/badge/Demo-Try%20it%20out-green)](https://cloud.cognitivelab.in)
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  **ColNetraEmbed** is a state-of-the-art multilingual multimodal embedding model for visual document retrieval, powered by the Gemma3 backbone and using Colbert-style multi-vector representations.
 
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  [![GitHub](https://img.shields.io/badge/GitHub-colpali-181717?logo=github)](https://github.com/adithya-s-k/colpali)
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  [![Model](https://img.shields.io/badge/🤗%20HuggingFace-Model-yellow)](https://huggingface.co/Cognitive-Lab/ColNetraEmbed)
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  [![Blog](https://img.shields.io/badge/Blog-CognitiveLab-blue)](https://www.cognitivelab.in/blog/introducing-netraembed)
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+ [![Demo](https://img.shields.io/badge/Demo-Try%20it%20out-green)](https://huggingface.co/spaces/AdithyaSK/NetraEmbed)
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  **ColNetraEmbed** is a state-of-the-art multilingual multimodal embedding model for visual document retrieval, powered by the Gemma3 backbone and using Colbert-style multi-vector representations.