课程: Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

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Multimodal retrieval introduction

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课程: Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

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Multimodal retrieval introduction

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- Not always we have simple text as our documents in our knowledge base. Often, we have images and other complex media, and in this session, we're going to talk about the option to do retrieval on multimodal, mainly on images, and we're going to also talk about quantization, that would allow us to reduce the memory footprint of our embedding in our modals. Often when we have documents with images, we might want to use the traditional way of using optical character recognition, or OCR, when we extract the text from the images, and also around the process called the Layout Detection, so when we are chunking the page, we will chunk it in a meaningful way. This is a simple way many people use that, and then you can go and use the regular flow that we saw before. But in this lesson, we're going to talk about the more advanced and much better. The performance is improved dramatically when we use this method, to use an encoding modal that is optimized for images, and some advanced methods of…

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