OpenAI python package has a built in distances_from_embeddings function, that can be used to calculate cosine similarity or distance. javascript also has simila

OpenAI python package has a built in distances_from_embeddings function, that can be used to calculate cosine similarity or distance. javascript also has similar libs to do so. From OpenAI Docs "Which distance function should I use? We recommend cosine similarity. The choice of distance function typically doesn’t matter much. OpenAI embeddings are normalized to length 1, which means that: Cosine similarity can be computed slightly faster using just a dot product Cosine similarity and Euclidean distance will result in the identical rankings"