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  short_description: Efficient Multi Vector Visual RAG Toolkit
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  short_description: Efficient Multi Vector Visual RAG Toolkit
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  ---
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+ # Visual RAG Toolkit Demo
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+ Interactive demo for the Visual RAG Toolkit - end-to-end visual document retrieval with ColPali models.
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+ ## Features
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+ - **📤 Upload Tab**: Index your own PDF documents with visual embeddings
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+ - **📊 Benchmarking Tab**: Run evaluations on ViDoRe datasets (requires Qdrant)
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+ - **🎮 Playground Tab**: Interactive search and visualization
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+
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+ ## Environment Variables
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+ Set these in your Space's settings:
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+ | Variable | Description |
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+ |----------|-------------|
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+ | `QDRANT_URL` | Qdrant Cloud URL (e.g., `https://xxx.qdrant.io`) |
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+ | `QDRANT_API_KEY` | Qdrant API key |
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+ ## Models
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+ This demo supports:
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+ - `vidore/colpali-v1.3` - Full ColPali model
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+ - `vidore/colSmol-500M` - Smaller, faster ColSmol model
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+ ## Links
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+ - [GitHub Repository](https://github.com/Ara-Yeroyan/visual-rag-toolkit)
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+ - [Documentation](https://github.com/Ara-Yeroyan/visual-rag-toolkit#readme)
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+