Skip to main content

Documentation Index

Fetch the complete documentation index at: https://kumo.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

To train models, you first need to connect a data source. This enables Kumo to train and retrain models effortlessly, making predictions as simple as refreshing your data.

​
Set up Connector

  1. Go to Connectors from the side menu and click Add Connector to set up a create a new connection.
  2. Select your data source and provide the required configuration details.

​
Supported Data Sources

Kumo currently supports the following data source types:
  • AWS S3: Reads Parquet (recommended) and CSV files; requires IAM role-based access.
  • Google Cloud BigQuery: Reads tables; requires security credentials.
  • Snowflake: Reads tables and views; requires security credentials.
  • Databricks: Reads tables; requires security credentials.
  • AWS Glue Catalog: Reads Parquet files on S3 via a Glue Catalog; requires IAM role-based access.
For local file uploads, select Local Upload to create a connector, then click Connect Table and upload the files.

​
Managing Connectors

To edit or delete connectors, select the Connector → click the ︙options button and choose Edit or Delete.