diff --git a/retriv/base_retriever.py b/retriv/base_retriever.py
index 8e7bec6..ca0cc5e 100644
--- a/retriv/base_retriever.py
+++ b/retriv/base_retriever.py
@@ -77,7 +77,7 @@ def prepare_results(self, doc_ids: List[str], scores: np.ndarray) -> List[dict]:
         return results
 
     def map_internal_ids_to_original_ids(self, doc_ids: Iterable) -> List[str]:
-        return [self.id_mapping[doc_id] for doc_id in doc_ids]
+        return [self.id_mapping[doc_id] for doc_id in doc_ids if doc_id != -1]
 
     def save(self):
         raise NotImplementedError()
diff --git a/retriv/hybrid_retriever.py b/retriv/hybrid_retriever.py
index 431e9ad..e199450 100644
--- a/retriv/hybrid_retriever.py
+++ b/retriv/hybrid_retriever.py
@@ -251,8 +251,9 @@ def search(
             List: results.
         """
 
-        sparse_results = self.sparse_retriever.search(query, False, 1_000)
-        dense_results = self.dense_retriever.search(query, False, 1_000)
+        sub_cutoff = max(cutoff, 1_000)
+        sparse_results = self.sparse_retriever.search(query, False, sub_cutoff)
+        dense_results = self.dense_retriever.search(query, False, sub_cutoff)
         hybrid_results = self.merger.fuse([sparse_results, dense_results])
         return (
             self.prepare_results(
@@ -282,8 +283,9 @@ def msearch(
             Dict: results.
         """
 
-        sparse_results = self.sparse_retriever.msearch(queries, 1_000)
-        dense_results = self.dense_retriever.msearch(queries, 1_000, batch_size)
+        sub_cutoff = max(cutoff, 1_000)
+        sparse_results = self.sparse_retriever.msearch(queries, sub_cutoff)
+        dense_results = self.dense_retriever.msearch(queries, sub_cutoff, batch_size)
         return self.merger.mfuse([sparse_results, dense_results], cutoff)
 
     def bsearch(