# Introduction

Our aim is to make vectors accessible and to ensure that using vectors in applications is a magical experience. We believe vectors will change how the world builds applications and processes and want to help as many individuals and businesses do this.

This book has been written by the Vector AI team and you can find out more about what we do [here](https://getvectorai.com/). Along with this book, we also have other available resources and materials others can use and explore vectors such as our [hub](https://hub.getvectorai.com/), [playground](https://vectorai-playground.web.app/) and our open-source Github packages ([Vector AI](https://gh.vctr.ai) and [VectorHub](https://github.com/vector-ai/vectorhub)).


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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://learn.getvectorai.com/master.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.
