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@llama_index

Learn how to use ColPali as a re-ranker for highly relevant results using a multimodal index! @ravithejads walks you through the technique: 💡 @cohere's multimodal embeddings for initial retrieval of both text and images 💡 We fetch the top 10 most relevant from both the text and image modalities 💡ColPali generates multi-vector representations for both text and images in the same embedding space 💡 We re-rank to the top 5 for each modality before sending to the LLM Check out the full video here: https://t.co/iSUA7fHDvj

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