diff --git a/docs/chat_message_history.ipynb b/docs/chat_message_history.ipynb
index e9493dee..02e6f04f 100644
--- a/docs/chat_message_history.ipynb
+++ b/docs/chat_message_history.ipynb
@@ -287,6 +287,24 @@
         "engine.init_chat_history_table(table_name=TABLE_NAME)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "id": "345b76b8",
+      "metadata": {},
+      "source": [
+        "#### Optional Tip: 💡\n",
+        "You can also specify a schema name by passing `schema_name` wherever you pass `table_name`. Eg:\n",
+        "\n",
+        "```python\n",
+        "SCHEMA_NAME=\"my_schema\"\n",
+        "\n",
+        "engine.init_chat_history_table(\n",
+        "    table_name=TABLE_NAME,\n",
+        "    schema_name=SCHEMA_NAME     # Default: \"public\"\n",
+        ")\n",
+        "```"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "zSYQTYf3UfOi",
@@ -300,7 +318,8 @@
         "\n",
         "1. `engine` - An instance of a `PostgresEngine` engine.\n",
         "1. `session_id` - A unique identifier string that specifies an id for the session.\n",
-        "1. `table_name` : The name of the table within the Cloud SQL database to store the chat message history."
+        "1. `table_name` : The name of the table within the Cloud SQL database to store the chat message history.\n",
+        "1. `schema_name` : The name of the database schema containing the chat message history table."
       ]
     },
     {
@@ -315,7 +334,10 @@
         "from langchain_google_cloud_sql_pg import PostgresChatMessageHistory\n",
         "\n",
         "history = PostgresChatMessageHistory.create_sync(\n",
-        "    engine, session_id=\"test_session\", table_name=TABLE_NAME\n",
+        "    engine,\n",
+        "    session_id=\"test_session\",\n",
+        "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
         ")\n",
         "history.add_user_message(\"hi!\")\n",
         "history.add_ai_message(\"whats up?\")"
@@ -456,6 +478,7 @@
         "        engine,\n",
         "        session_id=session_id,\n",
         "        table_name=TABLE_NAME,\n",
+        "        # schema_name=SCHEMA_NAME,\n",
         "    ),\n",
         "    input_messages_key=\"question\",\n",
         "    history_messages_key=\"history\",\n",
diff --git a/docs/document_loader.ipynb b/docs/document_loader.ipynb
index 84db4ae4..7be30a9b 100644
--- a/docs/document_loader.ipynb
+++ b/docs/document_loader.ipynb
@@ -257,6 +257,25 @@
         ")"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "#### Optional Tip: 💡\n",
+        "You can also specify a schema name by passing `schema_name` wherever you pass `table_name`. Eg:\n",
+        "\n",
+        "```python\n",
+        "SCHEMA_NAME=\"my_schema\"\n",
+        "\n",
+        "await engine.ainit_document_table(\n",
+        "    table_name=TABLE_NAME,\n",
+        "    schema_name=SCHEMA_NAME     # Default: \"public\"\n",
+        "    \n",
+        "    ...\n",
+        ")\n",
+        "```"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -277,7 +296,11 @@
         "from langchain_google_cloud_sql_pg import PostgresLoader\n",
         "\n",
         "# Creating a basic PostgreSQL object\n",
-        "loader = await PostgresLoader.create(engine, table_name=TABLE_NAME)"
+        "loader = await PostgresLoader.create(\n",
+        "    engine,\n",
+        "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
+        ")"
       ]
     },
     {
@@ -304,7 +327,11 @@
         "from langchain_google_cloud_sql_pg import PostgresLoader\n",
         "\n",
         "# Creating a basic PostgresLoader object\n",
-        "loader = await PostgresLoader.create(engine, table_name=TABLE_NAME)\n",
+        "loader = await PostgresLoader.create(\n",
+        "    engine,\n",
+        "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
+        ")\n",
         "\n",
         "docs = await loader.aload()\n",
         "print(docs)"
@@ -328,6 +355,7 @@
         "loader = await PostgresLoader.create(\n",
         "    engine,\n",
         "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
         "    content_columns=[\"product_name\"],  # Optional\n",
         "    metadata_columns=[\"id\"],  # Optional\n",
         ")\n",
@@ -356,6 +384,7 @@
         "loader = await PostgresLoader.create(\n",
         "    engine,\n",
         "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
         "    content_columns=[\"product_name\", \"description\"],\n",
         "    format=\"YAML\",\n",
         ")\n",
@@ -383,6 +412,7 @@
         "saver = await PostgresDocumentSaver.create(\n",
         "    engine,\n",
         "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
         "    content_column=\"product_name\",\n",
         "    metadata_columns=[\"description\", \"content\"],\n",
         "    metadata_json_column=\"metadata\",\n",
@@ -427,7 +457,7 @@
       "metadata": {},
       "source": [
         "### Load the documents with PostgresLoader\n",
-        "PostgresLoader can be used with `TABLE_NAME` to query and load the whole table."
+        "PostgresLoader can be used with `TABLE_NAME` (and optionally `SCHEMA_NAME`) to query and load the whole table."
       ]
     },
     {
@@ -436,7 +466,11 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "loader = await PostgresLoader.create(engine, table_name=TABLE_NAME)\n",
+        "loader = await PostgresLoader.create(\n",
+        "    engine,\n",
+        "    table_name=TABLE_NAME,\n",
+        "    # schema_name=SCHEMA_NAME,\n",
+        ")\n",
         "docs = await loader.aload()\n",
         "\n",
         "print(docs)"
diff --git a/docs/vector_store.ipynb b/docs/vector_store.ipynb
index 60839763..a253b3a6 100644
--- a/docs/vector_store.ipynb
+++ b/docs/vector_store.ipynb
@@ -258,6 +258,25 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Optional Tip: 💡\n",
+    "You can also specify a schema name by passing `schema_name` wherever you pass `table_name`. Eg:\n",
+    "\n",
+    "```python\n",
+    "SCHEMA_NAME=\"my_schema\"\n",
+    "\n",
+    "await engine.ainit_vectorstore_table(\n",
+    "    table_name=TABLE_NAME,\n",
+    "    schema_name=SCHEMA_NAME,    # Default: \"public\"\n",
+    "    \n",
+    "    ...\n",
+    ")\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -322,6 +341,7 @@
     "store = await PostgresVectorStore.create(  # Use .create() to initialize an async vector store\n",
     "    engine=engine,\n",
     "    table_name=TABLE_NAME,\n",
+    "    # schema_name=SCHEMA_NAME,\n",
     "    embedding_service=embedding,\n",
     ")"
    ]
@@ -365,6 +385,7 @@
     "    ids=ids,\n",
     "    engine=engine,\n",
     "    table_name=TABLE_NAME,\n",
+    "    # schema_name=SCHEMA_NAME,\n",
     "    embedding_service=embedding,\n",
     ")"
    ]
@@ -515,9 +536,11 @@
     "\n",
     "# Set table name\n",
     "TABLE_NAME = \"vectorstore_custom\"\n",
+    "# SCHEMA_NAME = \"my_schema\"\n",
     "\n",
     "await engine.ainit_vectorstore_table(\n",
     "    table_name=TABLE_NAME,\n",
+    "    # schema_name=SCHEMA_NAME,\n",
     "    vector_size=768,  # VertexAI model: textembedding-gecko@latest\n",
     "    metadata_columns=[Column(\"len\", \"INTEGER\")],\n",
     ")\n",
@@ -527,6 +550,7 @@
     "custom_store = await PostgresVectorStore.create(\n",
     "    engine=engine,\n",
     "    table_name=TABLE_NAME,\n",
+    "    # schema_name=SCHEMA_NAME,\n",
     "    embedding_service=embedding,\n",
     "    metadata_columns=[\"len\"],\n",
     "    # Connect to a existing VectorStore by customizing the table schema:\n",