# Powerful Discovery

## Components

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

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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.

![](/files/SuMahKP6NnH8f26LGSFh)

### 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)


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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://knowlg.sunbird.org/archived/taxonomy.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.