Files
langchain-python/langchain/embeddings/fake.py
T
2023-03-07 15:23:46 -08:00

20 lines
502 B
Python

from typing import List
import numpy as np
from pydantic import BaseModel
from langchain.embeddings.base import Embeddings
class FakeEmbeddings(Embeddings, BaseModel):
size: int
def _get_embedding(self) -> List[float]:
return list(np.random.normal(size=self.size))
def embed_documents(self, texts: List[str]) -> List[List[float]]:
return [self._get_embedding() for _ in texts]
def embed_query(self, text: str) -> List[float]:
return self._get_embedding()