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A complete RAG pipeline includes a reranker, which ranks the documents to find the best document 📓 Same goes for multimodal RAG, multimodal rerankers which we can integrate to multimodal RAG pipelines! Learn how to build a complete multimodal RAG pipeline with https://huggingface.co/vidore/colqwen2-v1.0 as retriever, https://huggingface.co/lightonai/MonoQwen2-VL-v0.1 as reranker, https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct as VLM in this notebook that runs on a GPU as small as L4 🔥 https://huggingface.co/learn/cookbook/multimodal_rag_using_document_retrieval_and_reranker_and_vlms

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HuggingFaceTB SmolLM2 1.7B

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