diff --git a/libs/langchain-mongodb/langchain_mongodb/index.py b/libs/langchain-mongodb/langchain_mongodb/index.py
index f2c99c94..e4582b07 100644
--- a/libs/langchain-mongodb/langchain_mongodb/index.py
+++ b/libs/langchain-mongodb/langchain_mongodb/index.py
@@ -20,15 +20,18 @@ def _vector_search_index_definition(
     path: str,
     similarity: str,
     filters: Optional[List[str]] = None,
+    vector_index_options: dict | None = None,
     **kwargs: Any,
 ) -> Dict[str, Any]:
     # https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-type/
+    vector_index_options = vector_index_options or {}
     fields = [
         {
             "numDimensions": dimensions,
             "path": path,
             "similarity": similarity,
             "type": "vector",
+            **vector_index_options,
         },
     ]
     if filters:
diff --git a/libs/langchain-mongodb/langchain_mongodb/vectorstores.py b/libs/langchain-mongodb/langchain_mongodb/vectorstores.py
index 9437150e..911f56ab 100644
--- a/libs/langchain-mongodb/langchain_mongodb/vectorstores.py
+++ b/libs/langchain-mongodb/langchain_mongodb/vectorstores.py
@@ -213,6 +213,7 @@ def __init__(
         dimensions: int = -1,
         auto_create_index: bool | None = None,
         auto_index_timeout: int = 15,
+        vector_index_options: dict | None = None,
         **kwargs: Any,
     ):
         """
@@ -257,6 +258,7 @@ def __init__(
                 path=embedding_key,
                 similarity=relevance_score_fn,
                 wait_until_complete=auto_index_timeout,
+                vector_index_options=vector_index_options,
             )
 
     @property
@@ -829,6 +831,7 @@ def create_vector_search_index(
         filters: Optional[List[str]] = None,
         update: bool = False,
         wait_until_complete: Optional[float] = None,
+        vector_index_options: dict | None = None,
         **kwargs: Any,
     ) -> None:
         """Creates a MongoDB Atlas vectorSearch index for the VectorStore
@@ -867,6 +870,7 @@ def create_vector_search_index(
             path=self._embedding_key,
             similarity=self._relevance_score_fn,
             filters=filters or [],
+            vector_index_options=vector_index_options,
             wait_until_complete=wait_until_complete,
             **kwargs,
         )  # type: ignore [operator]