> For the complete documentation index, see [llms.txt](https://knowlg.sunbird.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowlg.sunbird.org/learn/product-and-developer-guide/editors/collection-editor-v2.md).

# Collection Editor - V2

Collection Editor - V2 is a generalized editor which can be used for creating, viewing and editing multiple types of learning assets that are assets of collection mime-type. They can be - a collection of content (like textbook, course, program etc.), a Question set (collection of questions) or any other object type that is a collection of other objects. The generalized collection editor has the following benefits:

* Ensure all existing collection categories like textbook, course use the same code. Hence, ease of maintenance.
* Editors for new collection categories can be enabled with minimal or no coding.

### :stars:Capabilities

* [x] Efficient and performant handling of large data sets
* [x] Ability to load dynamic reactive forms and validations of form through configuration
* [x] Configuration driven architecture
* [x] The asset manager for easy creation and discovery of assets (Images, Videos, etc…)
* [x] Ability to organize your assets in a multi-level hierarchy
* [x] Ability to generate and link DIALcode(QRCodes) to any level of hierarchy.
* [x] Ability to preview linked assets
* [x] Collaboration of users
* [x] Collection creation processes like Draft, Review, and Publish

### :stars:Tech Stack

1. Angular
2. Typescript
3. Javascript
4. HTML/SCSS

### :stars:Installation guide

{% content-ref url="/pages/1Il3eLOzke5FM17GFkur" %}
[Collection Editor - V2](/use/installation-guide/editors/collection-editor-v2.md)
{% endcontent-ref %}

### :stars:APIs

{% content-ref url="/pages/ntCFqY3J1x2RohYdOXUd" %}
[APIs](/learn/product-and-developer-guide/editors/collection-editor-v2/apis.md)
{% endcontent-ref %}


---

# 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://knowlg.sunbird.org/learn/product-and-developer-guide/editors/collection-editor-v2.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.
