Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across…
Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across multiple modalities, including text, images, tables, audio, video, and more. In our previous post, An Easy Introduction to Multimodal Retrieval-Augmented Generation, we discussed how to tackle text and images. This post extends this conversation…
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Source:: NVIDIA