add docs for openai retriever ingest (#1969)

docs/modules/indexes/retriever_examples/chatgpt-plugin-retriever.ipynb

@@ -1,15 +1,75 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1edb9e6b",
+   "metadata": {},
+   "source": [
+    "# ChatGPT Plugin Retriever\n",
+    "\n",
+    "This notebook shows how to use the ChatGPT Retriever Plugin within LangChain."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "074b0004",
    "metadata": {},
    "source": [
-    "# ChatGPT Plugin Retriever\n",
+    "## Create\n",
     "\n",
-    "This notebook shows how to use the ChatGPT Retriever Plugin within LangChain.\n",
+    "First, let's go over how to create the ChatGPT Retriever Plugin.\n",
     "\n",
-    "To set up the ChatGPT Retriever Plugin, please follow instructions [here](https://github.com/openai/chatgpt-retrieval-plugin)."
+    "To set up the ChatGPT Retriever Plugin, please follow instructions [here](https://github.com/openai/chatgpt-retrieval-plugin).\n",
+    "\n",
+    "You can also create the ChatGPT Retriever Plugin from LangChain document loaders. The below code walks through how to do that."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "bbe89ca0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# STEP 1: Load\n",
+    "\n",
+    "# Load documents using LangChain's DocumentLoaders\n",
+    "# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html\n",
+    "\n",
+    "from langchain.document_loaders.csv_loader import CSVLoader\n",
+    "loader = CSVLoader(file_path='../../document_loaders/examples/example_data/mlb_teams_2012.csv')\n",
+    "data = loader.load()\n",
+    "\n",
+    "\n",
+    "# STEP 2: Convert\n",
+    "\n",
+    "# Convert Document to format expected by https://github.com/openai/chatgpt-retrieval-plugin\n",
+    "from typing import List\n",
+    "from langchain.docstore.document import Document\n",
+    "import json\n",
+    "\n",
+    "def write_json(path: str, documents: List[Document])-> None:\n",
+    "    results = [{\"text\": doc.page_content} for doc in documents]\n",
+    "    with open(path, \"w\") as f:\n",
+    "        json.dump(results, f, indent=2)\n",
+    "\n",
+    "write_json(\"foo.json\", data)\n",
+    "\n",
+    "# STEP 3: Use\n",
+    "\n",
+    "# Ingest this as you would any other json file in https://github.com/openai/chatgpt-retrieval-plugin/tree/main/scripts/process_json\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0474661d",
+   "metadata": {},
+   "source": [
+    "## Using the ChatGPT Retriever Plugin\n",
+    "\n",
+    "Okay, so we've created the ChatGPT Retriever Plugin, but how do we actually use it?\n",
+    "\n",
+    "The below code walks through how to do that."
    ]
   },
   {