52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# embedding_ollama.py
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import requests
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from typing import List
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class OllamaEmbeddings:
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"""
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Ollama 本地服务提供 /api/embeddings 接口，响应中包含 {"embedding": [...]}。
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"""
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def __init__(self, model_name: str, base_url: str):
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self.model_name = model_name
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self.base_url = base_url
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def embed(self, texts: List[str]) -> List[List[float]]:
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embeddings = []
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for text in texts:
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embeddings.append(self.embed_single_document(text))
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return embeddings
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def embed_documents(self, texts: List[str]) -> List[List[float]]:
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"""
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将多段文本转换为向量列表
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"""
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embeddings = []
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for text in texts:
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emb = self.embed_single_document(text)
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embeddings.append(emb)
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return embeddings
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def embed_query(self, query: str) -> List[float]:
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"""
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将单条 query 转换为 embedding 向量
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"""
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return self.embed_single_document(query)
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def embed_single_document(self, text: str) -> List[float]:
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"""
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调用 Ollama 本地服务接口，获取文本的 embedding
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"""
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url = f"{self.base_url}/api/embeddings"
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data = {
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"model": self.model_name,
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"prompt": text
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}
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try:
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response = requests.post(url, json=data)
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response.raise_for_status()
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result = response.json()
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return result["embedding"]
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except requests.exceptions.RequestException as e:
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raise Exception(f"Ollama embeddings request error: {e}")
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