cr

Author: jerryjliu

recipes/llama_api_providers/llama3_cookbook_groq.ipynb

@@ -61,7 +61,21 @@
    "id": "1714ea83-6cd4-44bb-b53f-4499126c3809",
    "metadata": {},
    "source": [
-    "### Setup LLM using Groq"
+    "### Setup LLM using Groq\n",
+    "\n",
+    "To use Groq, you need to make sure that `GROQ_API_KEY` is specified as an environment variable."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d46440c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "os.environ[\"GROQ_API_KEY\"] = \"<GROQ_API_KEY>\""
    ]
   },
   {
@@ -152,7 +166,11 @@
    "source": [
     "### Load Data\n",
     "\n",
-    "We load data using LlamaParse by default, but you can also choose to opt for our free pypdf reader (in SimpleDirectoryReader by default) if you don't have an account."
+    "We load data using LlamaParse by default, but you can also choose to opt for our free pypdf reader (in SimpleDirectoryReader by default) if you don't have an account! \n",
+    "\n",
+    "1. LlamaParse: Signup for an account here: cloud.llamaindex.ai. You get 1k free pages a day, and paid plan is 7k free pages + 0.3c per additional page. LlamaParse is a good option if you want to parse complex documents, like PDFs with charts, tables, and more. \n",
+    "\n",
+    "2. Default PDF Parser (In `SimpleDirectoryReader`). If you don't want to signup for an account / use a PDF service, just use the default PyPDF reader bundled in our file loader. It's a good choice for getting started!"
    ]
   },
   {
@@ -172,6 +190,7 @@
     }
    ],
    "source": [
+    "# Uncomment this code if you want to use LlamaParse\n",
     "from llama_parse import LlamaParse\n",
     "\n",
     "docs_kendrick = LlamaParse(result_type=\"text\").load_data(\"./data/kendrick.pdf\")\n",
@@ -180,7 +199,7 @@
     "    \"./data/drake_kendrick_beef.pdf\"\n",
     ")\n",
     "\n",
-    "\n",
+    "# Uncomment this code if you want to use SimpleDirectoryReader / default PDF Parser\n",
     "# from llama_index.core import SimpleDirectoryReader\n",
     "\n",
     "# docs_kendrick = SimpleDirectoryReader(input_files=[\"data/kendrick.pdf\"]).load_data()\n",