mirror of
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49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
# coding=utf-8
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"""
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@project: MaxKB
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@Author：虎
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@file： embedding.py
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@date：2024/7/12 15:02
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@desc:
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"""
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from typing import Dict, List
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from langchain_community.embeddings import OllamaEmbeddings
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from models_provider.base_model_provider import MaxKBBaseModel
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class OllamaEmbedding(MaxKBBaseModel, OllamaEmbeddings):
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@staticmethod
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def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
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return OllamaEmbedding(
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model=model_name,
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base_url=model_credential.get('api_base'),
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)
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def embed_documents(self, texts: List[str]) -> List[List[float]]:
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"""Embed documents using an Ollama deployed embedding model.
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Args:
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texts: The list of texts to embed.
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Returns:
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List of embeddings, one for each text.
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"""
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instruction_pairs = [f"{text}" for text in texts]
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embeddings = self._embed(instruction_pairs)
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return embeddings
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def embed_query(self, text: str) -> List[float]:
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"""Embed a query using a Ollama deployed embedding model.
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Args:
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text: The text to embed.
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Returns:
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Embeddings for the text.
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"""
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instruction_pair = f"{text}"
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embedding = self._embed([instruction_pair])[0]
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return embedding
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