# Cobalt

> Cobalt 0.4.2 documentation


2024, BlueLightAI, Inc

## Pages

- [Welcome to the Cobalt documentation!](index.html.md): sphinx-quickstart on Fri Aug 25 16:12:31 2023.
- [Cobalt API](cobalt.html.md): Bases: `object`
- [Preparing Data for Cobalt](data_loading.html.md): Cobalt provides a structure to organize your data in order to streamline the
- [Example Notebooks](examples.html.md): - [`TruthfulQA`](../examples/truthfulqa.ipynb)
- [Building TDA Graphs](graphs.html.md): At the core of Cobalt’s capabilities is its engine for building graphs
- [Licensing](licensing.html.md): Cobalt is copyright (C) 2023-2024, BlueLightAI, Inc. All rights reserved.
- [Release Notes](release_notes.html.md): This release of Cobalt focuses on bug fixes.
- [Setup](setup.html.md): Cobalt is a Python toolbox from [BluelightAI](https://bluelightai.com/) that
- [Tutorial](tutorial.html.md): This tutorial will walk through the steps involved in using Cobalt to analyze a
- [Tutorial](tutorial_llm.html.md): This tutorial demonstrates how to use Cobalt to analyze the performance of a
- [The Cobalt UI](ui.html.md): Cobalt provides a graphical interface that lets you explore your data and the
- [VSCode Usage Issues](vscode_issues.html.md): For the best user experience, we **recommend using Jupyter Lab** to use the
- [The Cobalt Workspace](workspace.html.md): The [`Workspace`](cobalt.md#cobalt.Workspace) object is the home for any analysis done on your

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For more comprehensive documentation, see [llms-full.txt](llms-full.txt)