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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-... Try here: https://huggingface.co/spaces/manu/Co... ColBERT VIDEOS: • Advanced RAG with ColBERT in LangChain and... • Supercharge Your RAG with Contextualized L... 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/c... Let's Connect: 🦾 Discord: / discord ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: / promptengineering 💼Consulting: https://calendly.com/engineerprompt/c... 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 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: • LangChain Everything LLM: • Large Language Models Everything Midjourney: • MidJourney Tutorials AI Image Generation: • AI Image Generation Tutorials