Embedding search is a technology that converts unstructured data such as text, images, and audio into high-dimensional vectors, and completes data matching and retrieval by calculating the similarity between vectors (such as cosine similarity, Euclidean distance). It is suitable for scenarios such as visual search, semantic retrieval, and recommendation systems.
