Creating your first app in Agent Cloud requires setup of a few components but this guide breaks them all down and allows you to create a simple chat app. The app in this tutorial will be a Sales Insights chat that allows you to talk to your data and be able to analyse, read and compare your data in a simple conversation.

What You Need Before Starting

To start creating the app you only need 2 things:

  1. The sales data you’d like to analyse, this specific tutorial uses a generated example sales report within a .csv file. If you’d like to use the same example file used in this tutorial click here to download it.
    If you have data stored within one of our integrations, skip to this tutorial to get started on creating an Agent Cloud app with an integration.
  2. A valid OpenAI API key. Our app is BYO token, this means that you bring the token to make the calls and we do the rest. You can register for a free key with OpenAI and get free tokens to use for this app.

Steps Overview

If you’d like to skip this overview and go straight to the video tutorial click here. This serves as a generic outline to create any app within Agent Cloud.

Please note, this tutorial skips the process of adding tools. If you’d like to create an app with tools see our tutorials here

1

Add some models

Add the specific models you’d like to use. This tutorial uses OpenAI, and that’s what’s reccomended for this tutorial. You should have already created an OpenAI api key.

2

Upload your Data

Upload the data you’d like to analyse.

3

Create an Agent

Create the agent and input it’s prompts to allow it to correctly analyse your data and answer your questions about it.

4

Create an App

Finally, combine everything we’ve created into an app.

App Showcase

Video example of the app to be created in this tutorial

With Agent Cloud chat apps, you can talk to your data and lean on the power of AI to make infrences on the data and intrepet it.

Add Some Models

Tutorial on how to add basic models.

The first step is you add models, for this tutorial we will create two. These will be used to embed the data and act as the base LLM for the agent we will create. You can read more about models on our Models page.

For performance we strongly reccomend using OpenAI and the specific models outlined in the accordions. If you haven’t already you should create an OpenAI api key and use that key in the “Api key” field of the model form

Upload Your Data

Tutorial on simple file uploads for data.

This specific tutorial focuses on file upload as a data source. To do this, navigate to the Data Sources page and either drag the file into the box or click into it to select a file.

Create an Agent

Tutorial on simple agent creation.

Create an App

Tutorial on final steps of app creation and running the app.