# Welcome to the Context Data Documentation

Welcome to the fantastic world of data infrastructure, data processing and transformation for Generative AI application. We built [Context Data](https://www.contextdata.ai) after many years of working within enterprise companies that were building extensive data solutions and warehouses. As we noticed the explosion of Generative AI applications where majority of the focus was on ingestion of simple and “nicely packaged” text files, we saw a huge gap for data pre-processing and transformations built especially for vector databases.

We built Context Data to allow “real” enterprise companies to be able to use data and ETL processes that they’re already familiar with to build vector data stores specifically for their Generative AI applications and use cases.

Context Data aims to serve as a centralized data processing platform and pipeline that companies of all sizes can use to move and transform their data without having to spin up infrastructure or write massive amounts of ETL code and logic.

## Creating a Context Data Account

Create a Context Data account at <https://sapphire.contextdata.ai>

![Context Data Flow](https://contextdata.nyc3.cdn.digitaloceanspaces.com/docs/Context-Data-Flow3.png)


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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://context-data.gitbook.io/context-data-1/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.