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

# Workbooks

Workbooks are dynamic playgrounds designed to empower data analysts, providing them with versatile tools to streamline and enhance their data analytics process. Our feature-rich Workbooks offer a trio of powerful options: Document Book, Query Book, and Expectation Book. Each workbook caters to different aspects of data analysis, offering an intuitive and efficient user experience.

* [**Document Book**](/overview/features/workbooks/document-book.md)**:** The Document Book revolutionizes the way data analysts work with unstructured data. By harnessing the power of Natural Language Processing (NLP), analysts can effortlessly upload and query documents using simple, everyday language. This interactive capability transforms the analysis of textual data into a seamless and insightful experience, significantly reducing the effort required to derive valuable insights from documents.

* [ **Query Book**](/overview/features/workbooks/query-book.md)**:** The Query Book empowers data analysts to interact with data through natural language inputs, seamlessly converting plain language queries into SQL. With Text to SQL capabilities, analysts can efficiently and accurately write complex SQL queries without the need for extensive coding knowledge. This feature enhances productivity and enables quick access to the precise data needed for analysis.

* [**Expectation Book**](/overview/features/workbooks/expectations-book.md)**:** The Expectation Book elevates data quality assurance by allowing analysts to define and execute data quality tasks using expectations. By setting expectations for data, analysts can validate and monitor data accuracy, completeness, and consistency, ensuring reliable and trustworthy analytical outcomes. This feature fosters data confidence and empowers analysts to make data-driven decisions with certainty.

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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

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