UnisKB/apps/models_provider/impl/ollama_model_provider/model/embedding.py

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# coding=utf-8
"""
@project: MaxKB
@Author
@file embedding.py
@date2024/7/12 15:02
@desc:
"""
from typing import Dict, List
from langchain_community.embeddings import OllamaEmbeddings
from models_provider.base_model_provider import MaxKBBaseModel
class OllamaEmbedding(MaxKBBaseModel, OllamaEmbeddings):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
return OllamaEmbedding(
model=model_name,
base_url=model_credential.get('api_base'),
)
def embed_documents(self, texts: List[str]) -> List[List[float]]:
"""Embed documents using an Ollama deployed embedding model.
Args:
texts: The list of texts to embed.
Returns:
List of embeddings, one for each text.
"""
instruction_pairs = [f"{text}" for text in texts]
embeddings = self._embed(instruction_pairs)
return embeddings
def embed_query(self, text: str) -> List[float]:
"""Embed a query using a Ollama deployed embedding model.
Args:
text: The text to embed.
Returns:
Embeddings for the text.
"""
instruction_pair = f"{text}"
embedding = self._embed([instruction_pair])[0]
return embedding