39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import os
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from typing import Optional
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from openai import AzureOpenAI
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from mem0.configs.embeddings.base import BaseEmbedderConfig
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from mem0.embeddings.base import EmbeddingBase
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class AzureOpenAIEmbedding(EmbeddingBase):
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def __init__(self, config: Optional[BaseEmbedderConfig] = None):
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super().__init__(config)
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api_key = self.config.azure_kwargs.api_key or os.getenv("EMBEDDING_AZURE_OPENAI_API_KEY")
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azure_deployment = self.config.azure_kwargs.azure_deployment or os.getenv("EMBEDDING_AZURE_DEPLOYMENT")
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azure_endpoint = self.config.azure_kwargs.azure_endpoint or os.getenv("EMBEDDING_AZURE_ENDPOINT")
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api_version = self.config.azure_kwargs.api_version or os.getenv("EMBEDDING_AZURE_API_VERSION")
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self.client = AzureOpenAI(
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azure_deployment=azure_deployment,
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azure_endpoint=azure_endpoint,
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api_version=api_version,
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api_key=api_key,
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http_client=self.config.http_client,
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)
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def embed(self, text):
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"""
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Get the embedding for the given text using OpenAI.
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Args:
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text (str): The text to embed.
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Returns:
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list: The embedding vector.
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"""
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text = text.replace("\n", " ")
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return self.client.embeddings.create(input=[text], model=self.config.model).data[0].embedding
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