1 2 3 4 5 6 7 8 9 10 11from fastembed.embedding import FlagEmbedding as Embedding import numpy as np from typing import List documents: List[str] = [ "passage: Hello, World!", "passage: This is an example passage.", ] embedding_model = Embedding(model_name="BAAI/bge-base-en-v1.5", max_length=512) # embedding_model = Embedding(model_name="BAAI/bge-base-en-v1.5", max_length=512) embeddings: List[np.ndarray] = list(embedding_model.embed(documents)) # Note the list() call - this is a generator