fix(dspy): re-added **kwargs argument in the search function

dspy/retrieve/deeplake_rm.py

@@ -78,7 +78,7 @@ def embedding_function(self, texts, model="text-embedding-ada-002"):
  return [data.embedding for data in openai.embeddings.create(input = texts, model=model).data]
 
  def forward(
- self, query_or_queries: Union[str, List[str]], k: Optional[int],
+ self, query_or_queries: Union[str, List[str]], k: Optional[int],**kwargs
  ) -> dspy.Prediction:
 
  """Search with DeepLake for self.k top passages for query
@@ -102,7 +102,7 @@ def forward(
  passages = defaultdict(float)
  #deeplake doesn't support batch querying, manually querying each query and storing them
  for query in queries:
- results = self._deeplake_client.search(query, k=k)
+ results = self._deeplake_client.search(query, k=k, **kwargs)
 
  for score,text in zip(results.get('score',0.0),results.get('text',"")):
  passages[text] += score