# 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.

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**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>" %}


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