> 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/archived/taxonomy.md).

# Powerful Discovery

## Components

| Services     | Description |
| ------------ | ----------- |
| Asset search |             |
| Taxonomy     |             |
| DIAL         |             |

\
\
Sunbird Taxonomy is a powerful engine that allows multiple taxonomies and frameworks (for building curriculums, competency maps, etc.) to be defined within the platform so that assets can be organized and accessed accordingly.

The Taxonomy module enables flexibility to support multiple pedagogic frameworks, different ways of classification and organization of learning assets along with tools to allow the community to manage the taxonomy.

## Background

An open infrastructure for organizing knowledge across various learning content and frameworks to solve the discoverability of relevant content. Experts created taxonomies are highly sophisticated, as communities and content scale, it is very difficult for a community user to understand the taxonomy and it takes significant discipline to tag content. Taxonomy and tagging infrastructure is a generic service that allows a highly automated way to create and enrich taxonomies and allow tagging, aggregation and categorization of content.

![](https://1767651289-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FaanfWbeVT74C5lXDPde3%2Fuploads%2Fgit-blob-48ec0854ba210fe0a6cdab58cc71fd1781a77733%2Ftaxonomy_pic.png?alt=media)

### Feature

* Semantic Search and Discovery
* Multilingual Search and Discovery
* Ability to create vocabularies
* Curation and tagging tools
* Auto-tagging using Machine Learning
* Telemetry data for policymaking

[Taxonomy API](https://documenter.getpostman.com/view/25463377/2s8ZDa32ay)


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://knowlg.sunbird.org/archived/taxonomy.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.