> For the complete documentation index, see [llms.txt](https://mind-expression-docs.gitbook.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mind-expression-docs.gitbook.io/home/concepts/knowledge.md).
# Knowledge
The Mind Expression reasoning engine continuously learns and adapts new ontologies. You can also educate the AI with your domain knowledge. We support ontologies management, recognition check of ontologies, semantic relations, entity types, and entity management on Knowledge. Knowledge data is shared with all Scopes.
### Ontologies Composition
**My Ontology**
My Ontology has two parts "My Ontologies" and "System (Extended)." My Ontologies is where you can add your ontology into Mind Expression to educate the AI. Whereas in System (Extended), users can extend more to cover words or sentences at a local level or global level.
### Recognition Check
The Recognition Check feature allows you to check the system's existing ontologies. When you search for an existing ontology, it will return sentences with similar meanings.
### Semantic Relations
Semantic Relations allow you to have choices to know what is the relationship of your statement to one another. To know more about Semantic Relations, please visit [Semantic Relations](/home/how-to-guides/educate-ai/semantic-relations.md)
### Entity Types
**Literal Entity Type**
Literal entity types include Literal Values used by API interaction and entities. Add and manage literal entities for references often used in conversations with your customers.
####
**Regex Entity Type**
Add and manage entities with Regular Expressions, which are sequences of characters that specify a search pattern. Regex entities are helpful for string-searching algorithms or input validation.
### Entity List
In Knowledge, you can view lists of entities defined by you and the system entities.
#### My Entities
All entities defined by you are listed in the My Entities tab. You can add and manage user-defined entities here.
#### System (Extensible) Entities
You can view system entities that are extensible in the System (Extensible) tab. You cannot edit or delete them, but extend them as you need.
#### System Entities
All inextensible system entities are available for view in the System Entities tab. These entities cannot be edited, deleted, or extended.
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# 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://mind-expression-docs.gitbook.io/home/concepts/knowledge.md?ask=&goal=
```
`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.