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Евгения Суходольская
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qdrant-landing/content/documentation/advanced-tutorials/pdf-retrieval-at-scale.md
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# Scaling PDF Retrieval with Qdrant
| Time: 30 min | Level: Intermediate |Output: [GitHub](https://github.com/qdrant/examples/blob/master/pdf-retrieval-at-scale/ColPali_ColQwen_Tutorial.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/qdrant/examples/blob/master/pdf-retrieval-at-scale/ColPali_ColQwen_Tutorial.ipynb) |
| Time: 30 min | Level: Intermediate |Output: [GitHub](https://github.com/qdrant/examples/blob/master/pdf-retrieval-at-scale/ColPali_ColQwen2_Tutorial.ipynb)|[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/qdrant/examples/blob/master/pdf-retrieval-at-scale/ColPali_ColQwen2_Tutorial.ipynb) |
| --- | ----------- | ----------- | ----------- |
Efficient PDF documents retrieval is a common requirement in tasks like **(agentic) retrieval-augmented generation (RAG)** and many other search-based applications. At the same time, setting up PDF documents retrieval is rarely possible without additional challenges.