diff --git a/libs/langchain/langchain/vectorstores/faiss.py b/libs/langchain/langchain/vectorstores/faiss.py
index 0e29daf01b..a5f1ba4b61 100644
--- a/libs/langchain/langchain/vectorstores/faiss.py
+++ b/libs/langchain/langchain/vectorstores/faiss.py
@@ -727,7 +727,6 @@ class FAISS(VectorStore):
         """Return docs and their similarity scores on a scale from 0 to 1."""
         # Pop score threshold so that only relevancy scores, not raw scores, are
         # filtered.
-        score_threshold = kwargs.pop("score_threshold", None)
         relevance_score_fn = self._select_relevance_score_fn()
         if relevance_score_fn is None:
             raise ValueError(
@@ -744,10 +743,4 @@ class FAISS(VectorStore):
         docs_and_rel_scores = [
             (doc, relevance_score_fn(score)) for doc, score in docs_and_scores
         ]
-        if score_threshold is not None:
-            docs_and_rel_scores = [
-                (doc, similarity)
-                for doc, similarity in docs_and_rel_scores
-                if similarity >= score_threshold
-            ]
         return docs_and_rel_scores