In this blog, we are going to build a live image search and query it with natural language. For example, you can search for 'an elephant', or a 'cute animal' with a list of images as input. We will use a multimodal embedding model to understand and embed the image, and build a vector index for efficient retrieval. We will use CocoIndex to build the indexing flow.
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