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| from langchain_huggingface import HuggingFaceEmbeddings | |
| import torch | |
| device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| class EmbeddingManager: | |
| _instance = None | |
| def __new__(cls, *args, **kwargs): | |
| if cls._instance is None: | |
| cls._instance = super(EmbeddingManager, cls).__new__(cls, *args, **kwargs) | |
| cls._instance.__initialized = False | |
| return cls._instance | |
| def __init__(self): | |
| if self.__initialized: | |
| return | |
| self.__initialized = True | |
| self.__embeddings = HuggingFaceEmbeddings( | |
| model_name="jinaai/jina-embeddings-v2-base-es", | |
| encode_kwargs={"normalize_embeddings": True}, | |
| model_kwargs={ | |
| "device": device, | |
| }, | |
| ) | |
| def get_embeddings(self): | |
| return self.__embeddings | |