Multimodal RAG with Qwen-2 and ColPali: Ask Questions from Images 🔥

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In this tutorial, I demonstrate how to use Qwen-2-VL-7B Instruct and ColPali for building a multimodal RAG engine. You'll learn how to process a PDF containing images and ask questions about those images. I also walk you through the indexing process using ColPali, making document retrieval easy and efficient. All the coding is done in Colab for ease of use. 😊

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I’m encountering an issue where, when I ask a question, the system immediately searches the document for a solution. How can I prevent this? I want the LLM to first fully understand the problem before searching for an answer in the document. Could you please help me with this?

mahajanvinod
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How can we extract images along with their figure captions from a PDF?

samketola
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Thank you so much for the video. Just great! We have got PDFs with vector graphics in it. So we can just simple get the images from the PDF. Any idea?

gerhardheinzerling
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Wher from can I read about the architecture of RAGs ?

mayukhbanerjee
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I am getting image with some other text, how can we get exact image only

Jogipraveen
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is there any multimodal llm can fine-tuning for sentiment analysis

IsmailIfakir
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Can you make a video creating a chatbot with this method?

RedCloudServices
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Cant we send multiple images in a single prompt to qwen?

proudestberozgaar