📄 ColQwen2: document search considering visual layout ColQwen2 is a modified version of the ColPali model designed to search documents by their visual features, not just by text. 🔧 How it works: • Each page is processed as an image • Qwen2-VL is used to extract not only text but also tables, charts, layout • Multivector embeddings are created • Search is based on comparing these vectors (late interaction) 📌 Why this is needed: This approach helps to find the right documents more accurately — especially if they contain complex structure, tables, or non-standard format. Suitable for: – PDF files – Scanned documents – Presentations and reports with visual elements https://huggingface.co/docs/transformers/main/en/model_doc/colqwen2
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