code: def add(self, embeddings):
      self.index.add(c_f.numpy_to_torch(embeddings).cpu())
  
imports: import numpy
  import torch
  from ..distances import BatchedDistance, CosineSimilarity
  from .None import common_functions
label_desc: Use image node_id 4 for calling the FaissKNN obj's underlying member method code with example usage: obj.add(embeddings) without return types