32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
from typing import Optional
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import google.generativeai as genai
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from chromadb import EmbeddingFunction, Embeddings
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from embedchain.config.embedder.google import GoogleAIEmbedderConfig
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from embedchain.embedder.base import BaseEmbedder
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from embedchain.models import VectorDimensions
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class GoogleAIEmbeddingFunction(EmbeddingFunction):
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def __init__(self, config: Optional[GoogleAIEmbedderConfig] = None) -> None:
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super().__init__()
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self.config = config or GoogleAIEmbedderConfig()
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def __call__(self, input: str) -> Embeddings:
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model = self.config.model
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title = self.config.title
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task_type = self.config.task_type
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embeddings = genai.embed_content(model=model, content=input, task_type=task_type, title=title)
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return embeddings["embedding"]
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class GoogleAIEmbedder(BaseEmbedder):
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def __init__(self, config: Optional[GoogleAIEmbedderConfig] = None):
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super().__init__(config)
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embedding_fn = GoogleAIEmbeddingFunction(config=config)
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self.set_embedding_fn(embedding_fn=embedding_fn)
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vector_dimension = VectorDimensions.GOOGLE_AI.value
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self.set_vector_dimension(vector_dimension=vector_dimension)
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