AudioRAG is becoming real! Just built a demo with ColQwen-Omni that does semantic search on raw audio, no transcription needed.
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AudioRAG is becoming real! Just built a demo with ColQwen-Omni that does semantic search on raw audio, no transcription needed.
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Drop in a podcast, ask your question, and it finds the exact chunks where it happens. You can also get a written answer.
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Drop in a podcast, ask your question, and it finds the exact chunks where it happens. You can also get a written answer.
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What’s exciting: it skips transcription, making it faster and better at capturing emotion, ambient sound, and tone, surfacing results text search would miss.
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What’s exciting: it skips transcription, making it faster and better at capturing emotion, ambient sound, and tone, surfacing results text search would miss.
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- Demo: 
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- Demo: 
https://huggingface.co/spaces/fdaudens/colqwen-omni-demo
fdaudens/colqwen-omni-demo
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https://huggingface.co/spaces/fdaudens/colqwen-omni-demo
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- Blog post from ColQwen team: 
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- Blog post from ColQwen team: 
https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval
https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval
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AudioRAG is becoming real! Just built a demo with ColQwen-Omni that does semantic search on raw audio, no transcription needed.

Drop in a podcast, ask your question, and it finds the exact chunks where it happens. You can also get a written answer.

What’s exciting: it skips transcription, making it faster and better at capturing emotion, ambient sound, and tone, surfacing results text search would miss.

- Demo: https://huggingface.co/spaces/fdaudens/colqwen-omni-demo
- Blog post from ColQwen team: https://huggingface.co/blog/manu/colqwen-omni-omnimodal-retrieval
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