Load data into Lightning AI

This guide shows how to load exported data into Lightning AI using LitLogger.

The below image shows an example of Experiment data visualized in the Lightning AI web interface.

Before you start

• Export your data from Neptune using the Neptune Exporter tool. Start from the migration overview.
• Get your Lightning AI credentials:
  • use lightning login for authentication, or
  • set the --litlogger-user-id and --litlogger-api-key flags

Validate your export

Before loading the data with LitLogger, inspect what was exported:

uv run neptune-exporter summary --data-path ./exports/data

This command returns the number of exported projects or runs, attribute types, and the basic step statistics.

Load the data with LitLogger

The following command creates one Lightning AI teamspace per Neptune project:

uv run lightning login && \
uv run neptune-exporter load \
  --loader litlogger \
  --data-path ./exports/data \
  --files-path ./exports/files

If the owner (organization) is different from the current authenticated user, you can specify it with the --litlogger-owner flag:

uv run neptune-exporter load \
  --loader litlogger \
  --litlogger-owner my-org \

info

For detailed instructions, see the Neptune Exporter README file on GitHub.