37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
import os
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from typing import Optional
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from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
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from langchain.embeddings import AzureOpenAIEmbeddings
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from embedchain.config import BaseEmbedderConfig
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from embedchain.embedder.base import BaseEmbedder
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from embedchain.models import VectorDimensions
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class OpenAIEmbedder(BaseEmbedder):
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def __init__(self, config: Optional[BaseEmbedderConfig] = None):
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super().__init__(config=config)
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if self.config.model is None:
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self.config.model = "text-embedding-ada-002"
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api_key = self.config.api_key or os.environ["OPENAI_API_KEY"]
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if self.config.deployment_name:
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embeddings = AzureOpenAIEmbeddings(deployment=self.config.deployment_name)
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embedding_fn = BaseEmbedder._langchain_default_concept(embeddings)
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else:
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if api_key is None and os.getenv("OPENAI_ORGANIZATION") is None:
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raise ValueError(
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"OPENAI_API_KEY or OPENAI_ORGANIZATION environment variables not provided"
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) # noqa:E501
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embedding_fn = OpenAIEmbeddingFunction(
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api_key=api_key,
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organization_id=os.getenv("OPENAI_ORGANIZATION"),
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model_name=self.config.model,
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)
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self.set_embedding_fn(embedding_fn=embedding_fn)
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vector_dimension = self.config.vector_dimension or VectorDimensions.OPENAI.value
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self.set_vector_dimension(vector_dimension=vector_dimension)
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