{ "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)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.1" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "981b6680a42bdb5eb22187741e1607b3aae2cf73db800d1af1f268d1de6a1f70" } } }, "nbformat": 4, "nbformat_minor": 2 }