32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
import logging
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from typing import Optional
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try:
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import ollama
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except ImportError:
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raise ImportError("Ollama Embedder requires extra dependencies. Install with `pip install ollama`") from None
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from langchain_community.embeddings import OllamaEmbeddings
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from embedchain.config import OllamaEmbedderConfig
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from embedchain.embedder.base import BaseEmbedder
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from embedchain.models import VectorDimensions
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logger = logging.getLogger(__name__)
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class OllamaEmbedder(BaseEmbedder):
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def __init__(self, config: Optional[OllamaEmbedderConfig] = None):
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super().__init__(config=config)
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local_models = ollama.list()["models"]
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if not any(model.get("name") == self.config.model for model in local_models):
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logger.info(f"Pulling {self.config.model} from Ollama!")
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ollama.pull(self.config.model)
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embeddings = OllamaEmbeddings(model=self.config.model, base_url=self.config.base_url)
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embedding_fn = BaseEmbedder._langchain_default_concept(embeddings)
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self.set_embedding_fn(embedding_fn=embedding_fn)
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vector_dimension = self.config.vector_dimension or VectorDimensions.OLLAMA.value
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self.set_vector_dimension(vector_dimension=vector_dimension)
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