> For the complete documentation index, see [llms.txt](https://docs.kby-ai.com/help/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kby-ai.com/help/faq.md).

# FAQ

- [How can I set up a Kubernetes system?](https://docs.kby-ai.com/help/faq/how-can-i-set-up-a-kubernetes-system.md): All server SDKs(face recognition, face liveness detection, ID card recognition, ID document liveness, etc) released by KBY-AI are compatible with Kubernetes clusters, including EKS.
- [Has KBY-AI's facial algorithm been certified by a reliable standard measurement authority?](https://docs.kby-ai.com/help/faq/has-kby-ais-facial-algorithm-been-certified-by-a-reliable-standard-measurement-authority.md): KBY-AI’s Face Recognition algorithm was evaluated by NIST in the FRVT 1:1 assessment recently, so we are globally top-ranked by NIST in the FRVT leaderboards.
- [Accelerating KBY-AI SDKs with Kubernetes Configuration](https://docs.kby-ai.com/help/faq/accelerating-kby-ai-sdks-with-kubernetes-configuration.md): KBY-AI’s server SDKs can run on a Kubernetes configuration to enable acceleration and handle multiple requests efficiently


---

# 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.kby-ai.com/help/faq.md?ask=<question>&goal=<endgoal>
```

`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.