> For the complete documentation index, see [llms.txt](https://docs.rainbird.ai/rainbird/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rainbird.ai/rainbird/knowledge-modelling/modelling-features/concepts/concept-instances.md).

# Concept instances

## Overview <a href="#rrbd42w32rgu" id="rrbd42w32rgu"></a>

For any given concept a concept instance is its data. You can think of concept instances as examples of the concept. i.e. given a concept of `Country`, the instances could be `France` or `Germany`.

Only concepts with a `string` data type allow you to create your own instances.

Concepts with a data type of `number`, `date` or `true/false` do not require instances to be explicitly created.

Opening a concept with a string data type will display an instances section and you can add instances like this:

<figure><img src="https://2183467111-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FehfnPLAHSx4uHugNiyth%2Fuploads%2FFI0zpzATO4meS0bg3KcV%2FAdd%20instances.gif?alt=media&amp;token=71db1160-60b6-4574-b3b9-8261128384f7" alt=""><figcaption></figcaption></figure>

{% hint style="warning" %}
**Validation**

Concept instance names must:

* Be unique
* Be less than 2,000 characters
* Not contain the following characters  `"` , `'` , `\` , `<` & `>`
  {% endhint %}

## **Metadata**

Additional information about a concept instance can be added as metadata, if it is necessary to provide further context about it e.g. providing an explanation of a particular tax code.

This data can be presented to end-users, if required, when the instance is referenced in a question or a result from Rainbird.

The image below shows an example of Metadata added to a concept instance. This input can be expanded for large metadata:

![](https://2183467111-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FehfnPLAHSx4uHugNiyth%2Fuploads%2FdEnfoi5GAvpYMQgaEO1R%2F16.png?alt=media)

The below image shows an example of how the Metadata could be presented with a result:

![](https://2183467111-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FehfnPLAHSx4uHugNiyth%2Fuploads%2FFRYiyI9CobQblcgWOix5%2F17.png?alt=media)

This data can also be formatted using markdown. More details can be found on supported markdown [here](/rainbird/knowledge-modelling/modelling-features/other-features/markdown.md).


---

# 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://docs.rainbird.ai/rainbird/knowledge-modelling/modelling-features/concepts/concept-instances.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.
