diff --git a/langchain/vectorstores/faiss.py b/langchain/vectorstores/faiss.py
index e4bbd8db..df66c818 100644
--- a/langchain/vectorstores/faiss.py
+++ b/langchain/vectorstores/faiss.py
@@ -188,10 +188,10 @@ class FAISS(VectorStore):
         selected_indices = [indices[0][i] for i in mmr_selected]
         docs = []
         for i in selected_indices:
-            _id = self.index_to_docstore_id[i]
-            if _id == -1:
+            if i == -1:
                 # This happens when not enough docs are returned.
                 continue
+            _id = self.index_to_docstore_id[i]
             doc = self.docstore.search(_id)
             if not isinstance(doc, Document):
                 raise ValueError(f"Could not find document for id {_id}, got {doc}")
diff --git a/tests/integration_tests/vectorstores/test_faiss.py b/tests/integration_tests/vectorstores/test_faiss.py
index 4cfe18ed..d1fc9c5e 100644
--- a/tests/integration_tests/vectorstores/test_faiss.py
+++ b/tests/integration_tests/vectorstores/test_faiss.py
@@ -44,6 +44,10 @@ def test_faiss_vector_sim() -> None:
     output = docsearch.similarity_search_by_vector(query_vec, k=1)
     assert output == [Document(page_content="foo")]
 
+    # make sure we can have k > docstore size
+    output = docsearch.max_marginal_relevance_search_by_vector(query_vec, k=10)
+    assert len(output) == len(texts)
+
 
 def test_faiss_with_metadatas() -> None:
     """Test end to end construction and search."""