ColPali: Vision Language Models for Efficient Document Retrieval

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​ In this video, I review the new ColPali paper which suggests using vision models for document retrieval, offering both impressive results and explainability. We’ll explore the current challenges with RAG systems, the new approach, the groundbreaking results, and even demo this model. Tune in to see how this innovative method outperforms existing methods and can transform your retrieval processes.

LINKS:
Paper: https://arxiv.org/pdf/2407.01449
Vespa Blog: https://blog.vespa.ai/retrieval-with-vision-language-models-colpali/
Try here: https://huggingface.co/spaces/manu/ColPali-demo
ColBERT VIDEOS:
https://youtu.be/kEgeegk9iqo
https://youtu.be/xTzUn3G9YA0

? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag

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00:00 Introduction to ColPali: A New Approach to Document Retrieval
00:40 Challenges with Existing RAG Systems
02:02 Proposed Solution: Vision Models for Retrieval
02:34 Benchmarking and Performance
05:09 Detailed Architecture of ColPali
08:34 Retrieval Process Explained
13:28 Practical Implementation and Testing
17:05 Conclusion and Future Directions

All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr

Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw

Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw

AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z   Read More Prompt Engineering 

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