This example demonstrates how to build an agent that can dynamically query Amazon Redshift Serverless tables and store its contents on the local hard drive.

Let's build a support agent that uses GPT-4:

```python
--8<-- "docs/recipes/src/talk_to_redshift_1.py"
```
