Update deeplake example (#4055)

docs/modules/indexes/vectorstores/examples/deeplake.ipynb

@@ -82,7 +82,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Creates a dataset locally at `./deeplake/`, then runs similiarity search "
+    "Create a dataset locally at `./deeplake/`, then run similiarity search. The Deeplake+LangChain integration uses Deep Lake datasets under the hood, so `dataset` and `vector store` are used interchangeably. To create a dataset in your own cloud, or in the Deep Lake storage, [adjust the path accordingly](https://docs.activeloop.ai/storage-and-credentials/storage-options)."
    ]
   },
   {
@@ -479,8 +479,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Deep Lake datasets on cloud (Activeloop, AWS, GCS, etc.) or local\n",
-    "By default deep lake datasets are stored in memory, in case you want to persist locally or to any object storage you can simply provide path to the dataset. You can retrieve token from [app.activeloop.ai](https://app.activeloop.ai/)"
+    "## Deep Lake datasets on cloud (Activeloop, AWS, GCS, etc.) or in memory\n",
+    "By default deep lake datasets are stored locally, in case you want to store them in memory, in the Deep Lake Managed DB, or in any object storage, you can provide the [corresponding path to the dataset](https://docs.activeloop.ai/storage-and-credentials/storage-options). You can retrieve your user token from [app.activeloop.ai](https://app.activeloop.ai/)"
    ]
   },
   {