> For the complete documentation index, see [llms.txt](https://wtm-assistant.gitbook.io/project/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wtm-assistant.gitbook.io/project/search-term-entity.md).

# search\_terms entity

Let's create one more entity named search\_terms.

## Steps

1. On the left Menu click `Entity`.
2. Click the blue button that says `Create entity`.
3. Name it `search_terms`.
4. Type in the terms as in the image below.
5. Click save.
6. 🌟You've created your `search_terms` entity

The final result should look like this:

![](https://3968847866-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LGdg6kPT_tILSqphA89%2F-LGnPrmgqZHMpnMuB5GK%2F-LGnS8WtRRQo3etGUxT1%2Fimage.png?alt=media\&token=3b1b25f1-6089-4d5b-912b-f26c276eb81e)

If you prefer instead of typing each one, here's the CSV you can copy and paste:

1. Click the more ( 3 dots) button
2. Click `Switch to raw mode`
3. Paste the data below within the CSV tab

{% code title="search\_terms" %}

```
"1","1","1st","first","first option","the first one","name"
"2","2","2nd","second","second option","the second one","location"
"3","3","3rd","third option","third","the third one","skill","skills"
```

{% endcode %}

4\. Click `Save`

## **Explanation:**

When we're welcoming our user we're doing so by asking them how they would like to begin their search. So the dialog flow at the beginning will look something like this: 

 Agent says: Hi! Welcome to the WTM leads directory conversational app. Would you like to find a lead by 1. Name, 2. Location or 3. Skill?

 User says: I want to search by skill.

We need to be able to redirect our users to the correct flow and ask the right question. To do so, we need another entity that will get the user's search term.

Our `search_terms` entity  will have 3 values : 

`name` (or 1)

`location` (or 2) 

 `skill` (or 3).