> ## Documentation Index
> Fetch the complete documentation index at: https://www.getmaxim.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Library Overview

> Explore Maxim's library of supporting components for AI testing and evaluation. Access evaluators, datasets, context sources, and prompt tools to enhance your testing workflow and ensure high-quality AI applications.

## Components Of The Library

At Maxim, we have all the supporting components to aid you in your journey to ship high-quality AI reliably and with confidence. While Pre-release Tests and Post-release Observation are our hero flows for ensuring a smooth testing experience, we have added several crucial pieces under **Library** in Maxim to assist you with testing.

<img src="https://mintcdn.com/maximai/5erI5VqjDLLSmvnr/images/docs/library/overview/library.png?fit=max&auto=format&n=5erI5VqjDLLSmvnr&q=85&s=09ef0a5f254237db2bd9e35eb84b7e16" alt="Library" width="2880" height="1620" data-path="images/docs/library/overview/library.png" />

## Evaluators

You will get access to all the evaluators under the **Evaluators** tab in the left-side menu. You will also have access to the **Evaluator Store**, where you can browse evaluators and add them to your workspace. Read more about evaluators [here](/library/evaluators/pre-built-evaluators/overview).

## Datasets

You can create robust multimodal datasets on Maxim, which you can then use for your testing workflow. Read more about datasets [here](/library/datasets/import-or-create-datasets).

## Context Sources

To test your RAG pipeline, it’s very important to evaluate the retrieved context along with the final generated output. We allow you to bring your retrieved context using an HTTP workflow. Read more about context sources [here](/library/context-sources#ingest-files-as-a-context-source).

## Prompt Tools

Being able to attach function calling to prompts ensures you can test your actual application flow, mimicking agentic workflows in your real application. Read more about prompt tools [here](/library/prompt-tools#create-a-code-tool).

## Custom Models

At Maxim, you can create and update datasets, which continue evolving as you navigate through the application lifecycle. We allow you to use these datasets for your fine-tuning needs by partnering with fine-tuning providers. If you have such a need, please feel free to drop us a line at [contact@getmaxim.ai](mailto:contact@getmaxim.ai).

<Note>[Schedule a demo](https://getmaxim.ai/demo) to learn more about how to use library components to enhance your AI application testing workflow</Note>