code: def search(self, queries, k: int) -> BatchMatches:
      distances, keys = self._faiss.search(queries, k)
      return BatchMatches(
          keys, distances, np.array([k] * queries.shape[0])
      )
  
file_path: usearch/python/scripts/index_faiss.py
imports: import os
  from typing import Optional
  import numpy
  from faiss import IndexHNSWFlat, IndexIVFPQ, read_index
  from usearch.index import Matches, BatchMatches
  from usearch.index import DEFAULT_CONNECTIVITY, DEFAULT_EXPANSION_ADD, DEFAULT_EXPANSION_SEARCH
label_desc: Use image node_id 3 for calling the IndexFAISS obj's underlying member method code with example usage: obj.search(queries, k) and returns: BatchMatches