# Welcome to AiBrary Docs

Welcome to AiBrary, your one-stop solution for accessing a vast variety of AI models under one roof. Whether you're building innovative applications or solving complex challenges, we bring together the best AI tools to meet your needs—all in one place.

<figure><img src="https://2030775142-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fp4IwQOR0zSJQKAC7b7hY%2Fuploads%2FbudVF5KQhsv6JFmvbtfe%2FDALL%C2%B7E%202024-10-21%2011.12.19%20-%20A%20sleek%2C%20minimal%20tech%20interface%20for%20an%20AI%20service%20provider%20with%20a%20purple-black%20theme.%20The%20design%20should%20be%20modern%20and%20futuristic%2C%20featuring%20a%20dark%20bac.webp?alt=media&#x26;token=2515660c-b8b0-4e43-88a7-1665e6f19a2c" alt=""><figcaption></figcaption></figure>

#### What We Offer

* **Wide Range of AI Models**: Explore models across categories such as:
  * Chat
  * Image Generation
  * Text-to-Speech
  * Speech-to-Text
  * OCR (Optical Character Recognition)
  * Object Detection
  * Retrieval-Augmented Generation (RAG)
* **Diverse Providers**: Seamlessly access models from industry leaders, including:
  * OpenAI
  * Meta
  * Google
  * Amazon
  * Anthropic
  * And many more!

#### How You Can Use It

We provide flexibility and simplicity in integrating AI into your workflows:

* **Intuitive Dashboard**: Interact with models and manage your usage effortlessly. [open dashboard](https://www.aibrary.dev/dashboard)
* **Client Packages**: Leverage our client SDKs to integrate AI capabilities directly into your projects. [install python package -](https://pypi.org/project/aibrary/)[ pypi](https://pypi.org/project/aibrary/)
* **Streamlit Integration**: Play with hyper parameters, use RAG feature and many more features on streamlit.  [open streamlit](https://docs.aibrary.dev/try-apis)

#### Why AiBrary?

At AiBrary, we simplify AI by bringing everything you need into a single, unified platform. Whether you’re a developer, researcher, or entrepreneur, our platform makes it easy to find, use, and innovate with AI.

Dive into the documentation to learn more about how to get started and unlock the full potential of AiBrary!


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aibrary.dev/getting-started/welcome-to-aibrary-docs.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.