37 lines
1012 B
Python
37 lines
1012 B
Python
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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if self.config.model is None:
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self.config.model = "text-embedding-3-small"
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if self.config.embedding_dims is None:
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self.config.embedding_dims = 1536
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self.client = AzureOpenAI()
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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 (
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self.client.embeddings.create(
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input=[text],
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model=self.config.model
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)
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.data[0]
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.embedding
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)
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