diff --git a/docs/docs/integrations/vectorstores/baiduvectordb.ipynb b/docs/docs/integrations/vectorstores/baiduvectordb.ipynb
index 3667b9097b6..e42c8d68830 100644
--- a/docs/docs/integrations/vectorstores/baiduvectordb.ipynb
+++ b/docs/docs/integrations/vectorstores/baiduvectordb.ipynb
@@ -68,7 +68,7 @@
     ")\n",
     "\n",
     "vector_db = BaiduVectorDB.from_documents(\n",
-    "    docs, embeddings, connection_params=conn_params, drop=True\n",
+    "    docs, embeddings, connection_params=conn_params, drop_old=True\n",
     ")"
    ]
   },
diff --git a/libs/community/langchain_community/vectorstores/baiduvectordb.py b/libs/community/langchain_community/vectorstores/baiduvectordb.py
index 8f622997535..f378df7b5eb 100644
--- a/libs/community/langchain_community/vectorstores/baiduvectordb.py
+++ b/libs/community/langchain_community/vectorstores/baiduvectordb.py
@@ -163,6 +163,7 @@ class BaiduVectorDB(VectorStore):
                 self.field_vector,
                 self.mochowenum.FieldType.FLOAT_VECTOR,
                 dimension=self.table_params.dimension,
+                not_null=True,
             )
         )
         fields.append(schema.Field(self.field_text, self.mochowenum.FieldType.STRING))
@@ -358,7 +359,7 @@ class BaiduVectorDB(VectorStore):
                 doc = Document(
                     page_content=row_data.get(self.field_text), metadata=meta
                 )
-                pair = (doc, result.get("distance", 0.0))
+                pair = (doc, result.get("score", 0.0))
                 ret.append(pair)
         return ret