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27 lines
889 B
Python
27 lines
889 B
Python
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import os
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from langchain.schema.embeddings import Embeddings
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from zhipuai import ZhipuAI
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class GLMEmbeddings(Embeddings):
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def __init__(self):
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self.client = ZhipuAI(api_key=os.getenv("Zhipu_API_KEY"))
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self.embedding_size = 1024
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def embed_query(self, text: str) -> list[float]:
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return self.embed_documents([text])[0]
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def embed_documents(self, texts: list[str]) -> list[list[float]]:
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return self._get_len_safe_embeddings(texts)
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def _get_len_safe_embeddings(self, texts: list[str]) -> list[list[float]]:
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try:
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# 获取embedding响应
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response = self.client.embeddings.create(model="embedding-2", input=texts)
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data = [item.embedding for item in response.data]
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return data
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except Exception as e:
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print(f"Fail to get embeddings, caused by {e}")
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return []
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