diff --git a/libs/community/langchain_community/document_loaders/astradb.py b/libs/community/langchain_community/document_loaders/astradb.py
index 8dae5c4528..976b4a70da 100644
--- a/libs/community/langchain_community/document_loaders/astradb.py
+++ b/libs/community/langchain_community/document_loaders/astradb.py
@@ -25,8 +25,6 @@ logger = logging.getLogger(__name__)
 
 
 class AstraDBLoader(BaseLoader):
-    """Load DataStax Astra DB documents."""
-
     def __init__(
         self,
         collection_name: str,
@@ -42,6 +40,26 @@ class AstraDBLoader(BaseLoader):
         nb_prefetched: int = 1000,
         extraction_function: Callable[[Dict], str] = json.dumps,
     ) -> None:
+        """Load DataStax Astra DB documents.
+
+        Args:
+            collection_name: name of the Astra DB collection to use.
+            token: API token for Astra DB usage.
+            api_endpoint: full URL to the API endpoint,
+                such as `https://<DB-ID>-us-east1.apps.astra.datastax.com`.
+            astra_db_client: *alternative to token+api_endpoint*,
+                you can pass an already-created 'astrapy.db.AstraDB' instance.
+            async_astra_db_client: *alternative to token+api_endpoint*,
+                you can pass an already-created 'astrapy.db.AsyncAstraDB' instance.
+            namespace: namespace (aka keyspace) where the
+                collection is. Defaults to the database's "default namespace".
+            filter_criteria: Criteria to filter documents.
+            projection: Specifies the fields to return.
+            find_options: Additional options for the query.
+            nb_prefetched: Max number of documents to pre-fetch. Defaults to 1000.
+            extraction_function: Function applied to collection documents to create
+                the `page_content` of the LangChain Document. Defaults to `json.dumps`.
+        """
         astra_env = _AstraDBEnvironment(
             token=token,
             api_endpoint=api_endpoint,
@@ -59,7 +77,6 @@ class AstraDBLoader(BaseLoader):
         self.extraction_function = extraction_function
 
     def load(self) -> List[Document]:
-        """Eagerly load the content."""
         return list(self.lazy_load())
 
     def lazy_load(self) -> Iterator[Document]: