Getting started
Clusterize your text messages in 5 minutes. No code required.
This guide will help you get started with the hosted version of phospho.
Create an account if needed
Go to phospho.ai. This is free.
Import your first messages
Upload a csv file with text messages (or log to the API).
Run your first clustering
Discover the results in your dashboard.
1. Signing up
Go to the phospho platform. Login or create an account if you don’t have one.
We recommend you use your company email address to create an account. This will let you easily invite your team members to collaborate on the same project.
2. Import your first messages
There are several ways to import your data to phospho. The easiest is to upload a file. Let’s see how to do it.
Format your file
Format your .csv
or .xlsx
file to have the following columns:
input
: the input text data, ususally the user messageoutput
: the output text, ususally the LLM app response
Additonally, you can add the following columns:
task_id
: an id of the task (input/output couple)session_id
: an id of the session. Messages with the same session_id will be grouped togetheruser_id
: the id of the user that sent the messagecreated_at
: the creation date of the task (format it like"2021-09-01 12:00:00"
)- other columns will be stored as metadata and can be used for filtering
The maximum upload size with this method is 500MB.
Upload the file to the plateform
Click the setting icon at the top right of the screen and select Import data
.
Then, click the Upload dataset button and use Choose file button to select your file. After selecting the file, click on the Send file button.
Your file will be uploaded and processed in a few minutes, depending on the size of the file.
3. Run your first clustering
You need to have a payment method set up to run a clustering. Add a payment method in Settings and claim your free credits.
Now that you imported data, you can run your first clustering.
Go to the Clusters page by clicking on Clusters on the sidebar.
On top, click on the Configure clusters detection
button. Change the parameters if needed. Finally, click on the Run cluster analysis
button.
The clustering will take some time to run. When it’s finished, you’ll see the results on the page.
Deep dive into the clusters or try different parameters to get different results.
Tips
- Click on a cluster to see the messages inside.
- Click on the pickaxe icon to breakdown a cluster into smaller clusters.
- Try different parameters (filters, scope, user query) to get different results.
Learn more about clustering here.
Tired of uploading files? Setup the API
Learn more about how to log to phospho in your app in a few minutes.
Next steps
Automatic tagging
Automatically annotate your text data and be alerted. Take action.
Unsupervized clustering
Group users messages based on their intention. Find out what your users are talking about.
AB Testing
Run experiments and iterate on your LLM app, while keeping track of performances. Keep shipping.
Flexible evaluation pipeline
Discover how to run and design a text analytics pipeline using natural language. No code needed.
User analytics
Detect user languages, sentiment, and more. Get to know power users.
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