Tutorial to Get Started with PulsejetDB

Before we start, there are three ways to install PulsejetDB:

Locally as a Python package from PyPi. This is local installation and meant to be used for rapid prototyping.
Remote as a Docker
Cloud with:
- Self-hosting with AWS Marketplace (Upcoming)
- Self-hosting with Google Marketplace (Upcoming)

Client Interface

Regardless of you will do rapid prototyping or use remote instance to develop your production grade models, you need to install PulsejetDB python package.

Create a virtualenv or in activated virtualenv, issue this command:

pip install pulsejet

We are making builds for these architectures for local package:

Linux x86_64
MacOS Aarch64

For people who will always use Remote Installation, we will provide also thin client.

Import Pulsejet in your Python code like:

import pulsejet as pj

Now you are ready to go to work with either local installation or remote installation.

Choosing Local?

Now you are ready to jump to Python Package based setup.

Choosing Remote?

Head to Docker-based setup.

Note that regardless of your choice above you need to install pulsejet python package to interact with the server. In addition to that, regardless of integration choice, you can select sync or async client.

After following the steps above you are ready to start using PulsejetDB for RAG development, or for production integration use cases.

Choose your way to develop

There are possible options to install and use PulsejetDB. There are other possibilities like full blown installation in your own cloud or use our Pulsejet Cloud solution.

Local Pulsejet

Use Local Pulsejet instance without any additional installation or steps.

Remote Pulsejet

Use production grade optimized docker images for remote development.

Pulsejet Cloud

Use Pulsejet Cloud for enterprise grade deployment.

As a Marketplace Installation

Use Marketplace installations to bring enterprise grade deployment directly into your own cloud.

Get Started

Features

​Client Interface