diff --git a/libs/community/langchain_community/vectorstores/neo4j_vector.py b/libs/community/langchain_community/vectorstores/neo4j_vector.py
index 94b803437af..2d3eff317ad 100644
--- a/libs/community/langchain_community/vectorstores/neo4j_vector.py
+++ b/libs/community/langchain_community/vectorstores/neo4j_vector.py
@@ -692,9 +692,10 @@ class Neo4jVector(VectorStore):
             self.node_label = index_information[0]["labelsOrTypes"][0]
             self.embedding_node_property = index_information[0]["properties"][0]
             self._index_type = index_information[0]["entityType"]
-            embedding_dimension = index_information[0]["options"]["indexConfig"][
-                "vector.dimensions"
-            ]
+            embedding_dimension = None
+            index_config = index_information[0]["options"]["indexConfig"]
+            if "vector.dimensions" in index_config:
+                embedding_dimension = index_config["vector.dimensions"]
 
             return embedding_dimension, index_information[0]["entityType"]
         except IndexError:
@@ -808,10 +809,12 @@ class Neo4jVector(VectorStore):
             )
 
         # If the vector index doesn't exist yet
-        if not embedding_dimension:
+        if not index_type:
             store.create_new_index()
         # If the index already exists, check if embedding dimensions match
-        elif not store.embedding_dimension == embedding_dimension:
+        elif (
+            embedding_dimension and not store.embedding_dimension == embedding_dimension
+        ):
             raise ValueError(
                 f"Index with name {store.index_name} already exists."
                 "The provided embedding function and vector index "
@@ -1275,14 +1278,14 @@ class Neo4jVector(VectorStore):
                 "`from_existing_relationship_index` method."
             )
 
-        if not embedding_dimension:
+        if not index_type:
             raise ValueError(
                 "The specified vector index name does not exist. "
                 "Make sure to check if you spelled it correctly"
             )
 
         # Check if embedding function and vector index dimensions match
-        if not store.embedding_dimension == embedding_dimension:
+        if embedding_dimension and not store.embedding_dimension == embedding_dimension:
             raise ValueError(
                 "The provided embedding function and vector index "
                 "dimensions do not match.\n"
@@ -1337,7 +1340,7 @@ class Neo4jVector(VectorStore):
 
         embedding_dimension, index_type = store.retrieve_existing_index()
 
-        if not embedding_dimension:
+        if not index_type:
             raise ValueError(
                 "The specified vector index name does not exist. "
                 "Make sure to check if you spelled it correctly"
@@ -1351,7 +1354,7 @@ class Neo4jVector(VectorStore):
             )
 
         # Check if embedding function and vector index dimensions match
-        if not store.embedding_dimension == embedding_dimension:
+        if embedding_dimension and not store.embedding_dimension == embedding_dimension:
             raise ValueError(
                 "The provided embedding function and vector index "
                 "dimensions do not match.\n"
@@ -1464,10 +1467,12 @@ class Neo4jVector(VectorStore):
             )
 
         # If the vector index doesn't exist yet
-        if not embedding_dimension:
+        if not index_type:
             store.create_new_index()
         # If the index already exists, check if embedding dimensions match
-        elif not store.embedding_dimension == embedding_dimension:
+        elif (
+            embedding_dimension and not store.embedding_dimension == embedding_dimension
+        ):
             raise ValueError(
                 f"Index with name {store.index_name} already exists."
                 "The provided embedding function and vector index "