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qdrant-landing/content/documentation/advanced-tutorials/pdf-retrieval-at-scale.md
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short_description: "Optimizing PDF retrieval at scale with Qdrant and Vision Large Language Models (VLLMs) such as ColPali and ColQwen."
description: "Optimizing PDF retrieval at scale with Qdrant and Vision Large Language Models (VLLMs) such as ColPali and ColQwen. Two-stage retrieval with multivector representations mean pooling."
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preview_image: /documentation/tutorials/pdf-retrieval-at-scale/social_preview.png
social_preview_image: /documentation/tutorials/pdf-retrieval-at-scale/social_preview.png
---
# Scaling PDF Retrieval with Qdrant
![scaling-pdf-retrieval-qdrant](/documentation/tutorials/pdf-retrieval-at-scale/image1.png)
| 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) |
| --- | ----------- | ----------- | ----------- |