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What are the main advantages of using cosine similarity in similarity search with embedding vectors?
①Can evaluate similarity based on direction regardless of vector magnitude.
②Computations are always fast and more accurate than distance calculations.
③Eliminate the need to access external databases.
④Not necessarily optimized for multidimensional vectors.
⑤Automatically generated without labels during training.