Uploading the Data

In this example we're going to upload two versions of a Q&A RAG pipeline for questions about GVHD. The second version, v2_improved_IR, will contain questions in both Evaluation and Production environments.
Uploading data to the Deepchecks system can be done either via the SDK or via the UI. Both options are explained below.

Use Deepchecks' Python SDK (Option 1)

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Open the Demo Notebook via Colab or Download it Locally

Click the badge below to open the Google Colab or click here to download the Notebook, set in your API token (see below), and you're ready to go!

Get your API key from the user menu in in the app:

If running locally, we recommend the best practice of using a python virtual environment to install the Deepchecks client SDK.

Or: Use the Deepchecks' UI (Option 2)

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Click here to Download the Demo Data

You'll see there the three demo datasets used in this example

1. Click the Upload Data button on the sidebar

   

2. Create a New Application, name it "GVHD", Application Type is "QA", and a New Version named "v1_gpt3.5".

   

3. Upload the v1_gpt35.csv to the Evaluation environment.

4. Add a New Version, and name it v2_improved_IR. Upload the second csv (v2_improved_IR.csv) to the Evaluation environment of the new version.

5. Proceed to upload the v2_production csv to the Production environment of the second version.

Data Upload Completed!

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Success, the GHVD Application is now in the Deepchecks App

You should now see it in the applications dropdown on all screens, and in the "Applications" page:

Next steps: You can check out the Exploring the System for a few recommendations for checking out the results and value on the data.

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Note: Data Processing status

• Some properties take a few minutes to calculate, so some of the data - such as properties and estimated annotations will be updated over time.
• You'll see a ✅ Completed Processing Status in the Applications page, when processing is finished.
• Note that you can subscribe to email notifications in the "Workspace Settings", and/or use the SDK to download the results upon completion.