# Dataset Creation

Users can incorporate **RAG** into their applications by connecting to external sources or uploading documents. Glik offers a simple tool to manage and process knowledge bases, making them accessible across all their applications.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgjyTOIQ3QhDkFYVgq1ayX6c1cnUyb8Kx6PiA6jDZUxtscGkhiM7hrzaxVzE0UEj8EZhaqdFv6x12huExrHa_1jDG4O4PvZ89VL1m7ZY59K5vjgUuyjwSQ6-vV9Ve-v1E8bMAr?key=CpZpdPOF0x_0UuxHi8JHmgAG" alt=""><figcaption></figcaption></figure>

In the knowledge main page users can manage your knowledge bases, create new ones, or connect to APIs to access to external knowledge bases

## Create a Dataset <a href="#create-a-dataset" id="create-a-dataset"></a>

By clicking on the "**Create Dataset**" card in the main page, users can access the create knowledge interface.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXcLR6cez3HqWxc85ZduHZcxbxfTlWoB5J1SKY--4GES2wiYlWg8vz21XOgLv-2-r3aELHdiR4jKOkN1Tc0pv-sQyNlh8AYM1HK_hgmvkyK3F1psV3nIzMitva5kwHIDeDbDv5nGkQ?key=CpZpdPOF0x_0UuxHi8JHmgAG" alt=""><figcaption></figcaption></figure>

In here they can import files, sync from a Notion page, or sync from a website.

After choosing a data source, Glik provides a preprocessing and cleaning tool, for better processing and structuring of the content.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfsFllfPW1ayQYg32mcH6c-IL5YqyfKCWCng58XKKd3RLA55M63BfcRaEgvFZMiZ-csotFJ5hNzsf0swQBSftXVkw1dY92wpuKUe00TsITl-V8I91DBsgoPWPBZ1-AfR2mOPkLr?key=CpZpdPOF0x_0UuxHi8JHmgAG" alt=""><figcaption></figcaption></figure>

After choosing your indexing and chunking methods users can process the knowledge by clicking on save & process, finalizing the dataset creation.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfDbJQLPxBtT1Dt_RyhZdFF1QD_Ae2QD9U6kKjEO7qR1TnpmnVD-x_GEDwfpdoA-V4qaS-7Xye3bTq43wR2vZAbqq9-m97trDhZwPwRHyM7f92H22fEcCJQ10Z0nJcitANEYBawBQ?key=CpZpdPOF0x_0UuxHi8JHmgAG" alt=""><figcaption></figcaption></figure>


---

# 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.glik.ai/deprecation/dataset/dataset-creation.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.
