minor updates

docs/modules/indexes/retrievers/examples/twitter-the-algorithm-analysis-deeplake.ipynb

@@ -6,7 +6,9 @@
    "metadata": {},
    "source": [
     "# Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Deep Lake\n",
-    "In this tutorial, we are going to use Langchain + Deep Lake with GPT4 to analyze the code base of the twitter algorithm."
+    "In this tutorial, we are going to use Langchain + Deep Lake with GPT4 to analyze the code base of the twitter algorithm. \n",
+    "\n",
+    "For full documentation of Deep Lake please follow https://docs.activeloop.ai/ and API reference https://docs.deeplake.ai/en/latest/"
    ]
   },
   {
@@ -45,8 +47,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 1. Index the code base (optional)\n",
-    "You can directly skip this part and directly jump into using already indexed dataset. To begin with, first we will clone the repository, then parse and chunk the code base and use OpenAI indexing."
+    "Authenticate into Deep Lake if you want to create your own dataset and publish it. You can get an API key from the platform at https://app.activeloop.ai"
    ]
   },
   {
@@ -63,7 +64,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Authenticate into Deep Lake if you want to create your own dataset and publish it. You can get an API key at https://app.activeloop.ai"
+    "### 1. Index the code base (optional)\n",
+    "You can directly skip this part and directly jump into using already indexed dataset. To begin with, first we will clone the repository, then parse and chunk the code base and use OpenAI indexing."
    ]
   },
   {
@@ -204,6 +206,14 @@
     "retriever.search_kwargs['k'] = 20"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also specify user defined functions using [Deep Lake filters](https://docs.deeplake.ai/en/latest/deeplake.core.dataset.html#deeplake.core.dataset.Dataset.filter)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 16,