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

# Introduce

![DuckDB Badge](https://camo.githubusercontent.com/eeaac8be9a2bbf10683ea6ba0a4ac0e2e5d0f4b7f07a0d625d380478daab92dd/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4275696c745f576974682d4475636b44422d666666313030) ![GitHub License](https://camo.githubusercontent.com/a8f755f16970b9ac9406b82d174196f85cbd8c3140203bd33030e9a1f45c88eb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f686174616d696172617368372f6475636b64622d6e6574717561636b) ![GitHub Release](https://camo.githubusercontent.com/1f601c0abc608d392875574b812245e339797874c505c27289a18ac12e1bf5c0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f686174616d696172617368372f6475636b64622d6e6574717561636b)

Netquack DuckDB [extension](https://github.com/hatamiarash7/duckdb-netquack) is designed to simplify working with domains, URIs, and web paths directly within your database queries. Whether you're extracting top-level domains (TLDs), parsing URI components, or analyzing web paths, Netquack provides a suite of intuitive functions to handle all your network tasks efficiently. Built for data engineers, analysts, and developers.

With Netquack, you can unlock deeper insights from your web-related datasets without the need for external tools or complex workflows.

### What is DuckDB <a href="#what-is-duckdb" id="what-is-duckdb"></a>

[DuckDB](https://duckdb.org/) is an in-process SQL OLAP database management system designed to efficiently handle analytical query workloads. It is lightweight, easy to integrate, and features an intuitive interface for querying and processing data directly within applications. DuckDB is gaining popularity for its performance and low overhead, making it an excellent choice for processing large datasets directly in various programming environments.


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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, and the optional `goal` query parameter:

```
GET https://netquack.arash-hatami.ir/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
