> For the complete documentation index, see [llms.txt](https://docs.conva.ai/slang/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.conva.ai/slang/advanced-topics/customizing-the-assistant/customizing-subdomain-data.md).
# Training the Assistant to recognize additional data
## Customizing Assistant with Domain-Specific Data
While Slang CONVA strives to provide the highest accuracy and coverage over recognition of your user’s utterances, there may be certain words or phrases that CONVA doesn’t recognize, because they are specific to a customer’s particular app or brand. In such cases, customers are given the opportunity to augment the in-built data available, with their own data.
### Adding custom data
In the CONVA platform, larger domains, such as travel and retail, are subdivided into smaller ones, such as Bus, Flight, or Train (for travel) or Pharmacy or Grocery (for retail).
Each subdomain has specific in-built data, allowing users to fine-tune the recognition quality by selecting only the subdomains that matter to them.
For each of these subdomains, additional data can be uploaded as many comma-separated files, each of which having a specific format and functionality described below. The user has the ability to augment existing data or entirely replace CONVA’s internal data entirely with their own. If the developer chooses to augment the in-built data recognition will be based on both in-built data and user data.
#### Uploading subdomain data:
To upload subdomain-specific data click on the up arrow button for each subdomain data type, and upload the corresponding CSV file.
#### Editing Subdomain data:
To edit an already uploaded csv file, download the file first using the download button, edit the file and then upload it again.
#### Replace/Augment data option:
As mentioned above the data uploaded can be used to augment or replace existing CONVA domain data. To replace the data check the replace checkbox for each data file.
---
# 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://docs.conva.ai/slang/advanced-topics/customizing-the-assistant/customizing-subdomain-data.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.