langchain/docs/modules/indexes/document_loaders/examples/example_data/notebook.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notebook\n",
    "\n",
    "This notebook covers how to load data from an .ipynb notebook into a format suitable by LangChain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import NotebookLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = NotebookLoader(\"example_data/notebook.ipynb\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`NotebookLoader.load()` loads the `.ipynb` notebook file into a `Document` object.\n",
    "\n",
    "**Parameters**:\n",
    "\n",
    "* `include_outputs` (bool): whether to include cell outputs in the resulting document (default is False).\n",
    "* `max_output_length` (int): the maximum number of characters to include from each cell output (default is 10).\n",
    "* `remove_newline` (bool): whether to remove newline characters from the cell sources and outputs (default is False).\n",
    "* `traceback` (bool): whether to include full traceback (default is False)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader.load(include_outputs=True, max_output_length=20, remove_newline=True)"
   ]
  }
 ],
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