27 lines
926 B
Python
27 lines
926 B
Python
import os
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from typing import Optional
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import google.generativeai as genai
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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 GoogleGenAIEmbedding(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 = "models/text-embedding-004" # embedding-dim = 768
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genai.configure(api_key=self.config.api_key or os.getenv("GOOGLE_API_KEY"))
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def embed(self, text):
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"""
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Get the embedding for the given text using Google Generative AI.
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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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response = genai.embed_content(model=self.config.model, content=text)
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return response['embedding'] |