> For the complete documentation index, see [llms.txt](https://learn.getvectorai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.getvectorai.com/vector-search/jobs.md).

# Jobs

Vector AI provides ways to also try out and test features as they come up. These features are vector-based features that allow for a number of new applications. These include:

| Job Name / Endpoint | Description                                           |
| ------------------- | ----------------------------------------------------- |
| encode image field  | Encode a field which has images                       |
|                     |                                                       |
| tag                 | Tag a text field with possible tags from a dictionary |


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# Agent Instructions
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## 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://learn.getvectorai.com/vector-search/jobs.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.