# Text To Sql

## Text to SQL, powered by OpenAI.

### Required Inputs

* Text: a prompt describing the SQL query that you want OpenAI to generate for you. Add as much context as possible to help OpenAI generate a useful query. Avoid using relative date terms like "last year" because OpenAI doesn't have any knowledge past 2021.

## Parameters

| Name | Type        | Description                                                                                                 | Is Optional |
| ---- | ----------- | ----------------------------------------------------------------------------------------------------------- | ----------- |
| text | string-long | Text description of the query you want to generate. Example: total revenue for the Southwest region in 2021 |             |

## Example

```python
ds = rasgo.get.dataset(fqtn='DB.SCHEMA.IOWA_LIQUOR_SALES')

ds2 = ds.text_to_sql(
  text='total bottles sold in Des Moines last year'
)
ds2.sql()
ds2.preview()

```

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/text_to_sql/text_to_sql.sql>" %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rasgoml.com/rasgo-docs/rasgo-0.1/all-transforms/text_to_sql.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.