Data & AI Integration

This section addresses frequently asked questions when connecting data sources, setting up AI/ML model endpoints, or troubleshooting integration issues within AI Squared.

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Data Source Integration

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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.

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What formats are supported for ingesting data?

• 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).

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AI/ML Model Integration

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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.

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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

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Sync & Schema Issues

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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

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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.