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      • Creating a Database Schema Configuration File
        • Vector Similarity Metrics
        • Index Type Methods
      • Creating a Collection
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      • Building and Running Queries
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  1. flows

Setting Up

PreviousQuick StartNextInstalling the Hyperspace API Client

Last updated 1 year ago

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 -

Download and Install the Hyperspace API Client
Connect to the Hyperspace Server
Create a Database Schema Configuration File that Defines a Collection
Create a Collection based on the Configuration File
Upload Data into the Collection
Build and Run a Query
Retrieve the Matching Documents