> For the complete documentation index, see [llms.txt](https://docs.rasgoml.com/rasgo-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rasgoml.com/rasgo-docs/readme.md).

# What is Rasgo?

![](/files/-MJZiXHTjQnyVWs6YGPc)

[Rasgo](https://rasgoml.com) is an AI-powered Copilot for your Data Warehouse.

## Why Rasgo?

1. Natural Language Interface - ask your question in natural language, and Rasgo's AI Agent will use its available functions to intelligently query and analyze your data
2. Your Data Stays in your Data Warehouse - Rasgo handles translating the metadata from your data warehouse into a format that Large Language Models can understand
3. Create Specialized AI Agents - Using the Rasgo platform, you can create specific AI Agents that are trained on a certain business domain with special instructions to help you accomplish tasks

## Get Started

We have a wait list for design partners at this time, but we'd love to work with you! Please contact <jared@rasgoml.com> and we will be in touch about setting up a POC.

### Data Warehouse Support

Currently Rasgo only works with Snowflake and BigQuery, but we are planning support for other data warehouses soon:

| Data Warehouse | Supported? |
| -------------- | ---------- |
| Snowflake      | Yes        |
| BigQuery       | Yes        |
| Delta Lake     | Roadmap    |
| Redshift       | Roadmap    |

For regular databases, you can use our other product, Chat Ur Data.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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/readme.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.