# Setting Up

Hyperspace allows native Python syntax and can be seamlessly integrated into an existing Python projects or used as a stand-alone code. The Hyperspace Client requires Python 3.4 or newer.

Users with experience in search can use Hyperspace to easily create extremely fast search engines from scratch.

## **To start using Hyperspace**

Create an account with Hyperspace. Once registered, Hyperspace will provide you with a username, password and a link to download the Hyperspace Client API.

To search in Hyperspace, follow these steps -

1. [Download and Install the Hyperspace API Client ](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/installing-the-hyperspace-api-client)
2. [Connect to the Hyperspace Server](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/connecting-to-the-hyperspace-server)
3. [Create a Database Schema Configuration File that Defines a Collection](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/creating-a-database-schema-configuration-file)
4. [Create a Collection based on the Configuration File](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/creating-a-collection)
5. [Upload Data into the Collection](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/uploading-data-to-a-collection)
6. [Build and Run a Query](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/building-and-running-queries)
7. [Retrieve the Matching Documents](https://docs.hyper-space.io/hyperspace-docs/projects/setting-up/retrieving-results)


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# 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.hyper-space.io/hyperspace-docs/flows/setting-up.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.