An Example of Analyzing Sleep and Health Data

let's use an example to show how to create an AI Agent to analyze sleep and health data.

Step1: Create a Table backed by data source

You can use your own data source, such as csv, Excel, postgres, mysql, parquet, google sheet etc. to create a table in ReByte. We provide some sample data for you to play with, you can use the sample data to create a table in ReByte.

After you create the table, you can explore the data in the table with plain English query.

Step 2: Connect your table to LLM workflow

Click 'Create Workflow' on top to create a new workflow that can interact with your table.

You can use the workflow builder to write test cases for your workflow, write prompt for your specific use case, and deploy the agent to production.

Step 3: Make your workflow available to agent

By clicking 'Add Workflow to Agent' on the top, you can make your workflow available to all team members. Select the workflow you want to add to Agent.

Done! Now all team members can use the agent to analyze sleep and health data.

Try following queries:

Show me the average sleep time for each age group.

Create a pie chart showing the length of sleep time for each age group.