> For the complete documentation index, see [llms.txt](https://inquiry.sunbird.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://inquiry.sunbird.org/learn/product-and-developer-guide/question-and-question-set-service/source-code.md).

# Source Code

Here is the link to the source code. Currently, inQuiry leverages source code from [Sunbird Knowlg](https://knowlg.sunbird.org/learn/readme) for core component (ontology-engine). For Branch and Tag, Please checkout release notes.

\
\
**Question & QuestionSet Service Source Code:** 

{% embed url="<https://github.com/Sunbird-inQuiry/inquiry-api-service.git>" %}

{% embed url="<https://youtu.be/yoHBowTh4OQ?si=OddNJ_r67qgGSyWV&t=37>" %}

**Core Component (knowlg-core) Source Code:**&#x20;

{% embed url="<https://github.com/Sunbird-Knowlg/knowledge-platform.git>" %}

For Question & QuestionSet Service, Please use [**assessment-api** ](https://github.com/Sunbird-inQuiry/inquiry-api-service/tree/master/assessment-api)folder in above repo.&#x20;

**Asynchronous Flink Job Source Code:**

{% embed url="<https://github.com/Sunbird-inQuiry/data-pipeline.git>" %}

Question & QuestionSet Service uses below async jobs (written using Apache Flink)&#x20;

1. [async-questionset-publish](https://github.com/Sunbird-inQuiry/data-pipeline/tree/master/publish-pipeline/async-questionset-publish) : used for publish operation of Question & QuestionSet Asset.

{% embed url="<https://youtu.be/yoHBowTh4OQ?si=il_JPSlJU_FGB4DD&t=1433>" %}


---

# 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://inquiry.sunbird.org/learn/product-and-developer-guide/question-and-question-set-service/source-code.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.