# Source: https://docs.squared.ai/faqs/data-and-ai-integration.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.squared.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 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

### 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.

### 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

### How do I connect my hosted model?

* Use the [Add AI/ML Source](/activation/ai-modelling/connect-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

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## 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.

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