Build Your Own Multimodal RAG: Image-Powered Q&A with ColPali and Qwen2-VL
SMRTR summary
A new Multimodal RAG system combines ColPali document retriever with Qwen2-VL Vision Language Model to answer queries using visual information from documents. This AI-powered approach enables direct retrieval of relevant images and diagrams, enhancing search capabilities for tasks like furniture assembly instructions without complex OCR processing.
SMRTR provides this summary for quick context. The original article belongs to GitConnected.
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