Skip to main content This section addresses frequently asked questions when connecting data sources, setting up AI/ML model endpoints, or troubleshooting integration issues within AI Squared.
Data Source Integration Why is my data source connection failing?
Verify that the connection credentials (e.g., host, port, username, password) are correct.
Ensure that the network/firewall rules allow connections to AI Squared’s IPs (for on-prem data).
Check if the database is online and reachable.
AI Squared supports connections to major databases like Snowflake, BigQuery, PostgreSQL, Oracle, and more.
Files such as CSV, Excel, and JSON can be ingested via SFTP or cloud storage (e.g., S3).
AI/ML Model Integration How do I connect my hosted model?
Use the Add AI/ML Source guide to define your model endpoint.
Provide input/output schema details so the platform can handle data mapping effectively.
What types of model endpoints are supported?
REST-based hosted models with JSON payloads
Hosted services like AWS SageMaker, Vertex AI, and custom HTTP endpoints
Sync & Schema Issues Why is my sync failing?
Confirm that your data model and sync mapping are valid
Check that input types in your model schema match your data source fields
Review logs for any missing fields or payload mismatches
How can I test if my connection is working?
Use the “Test Connection” button when setting up a new source or sync.
If testing fails, examine error messages and retry with updated configs.
