# F.A.Q.

### **I found a bug. Where to report it?**

Check if there is already an open issue on the topic on [GitHub](https://github.com/evidentlyai/evidently). If there is none, create a new issue.

### **I have a question about the tool. Where to ask it?**

Open an issue on [GitHub](https://github.com/evidentlyai/evidently), or ask in our [Discord community](https://discord.gg/xZjKRaNp8b).

### **Can you add {insert a plot type} to one of your reports?**

We probably can! However, we might choose not to, since we try to have a good-enough default setup without unnecessarily increasing the size of the report. That is a delicate balance!

If you want to change the default report, you can create a custom widget and tab, and even contribute it back to the community gallery! Explore the [Customization section](/v0.1.57/user-guide/customization.md) for more details.

### **Can I export the report to display it elsewhere / integrate it into the prediction pipeline?**

You can export the report summary as a JSON profile and integrate it with external tools. Refer to the [Integration section](/v0.1.57/integrations.md) to see examples.

### **The HTML report size is too large. Can I decrease it?**

Unfortunately, not yet.

It happens because we store all the data inside the HTML file itself. We will address this in the later versions of the tool when it will be available as a service.

In the meantime, we suggest using some sampling strategy for your dataset, for instance, random sampling or stratified sampling.

### **Does it work for large datasets and distributed computation?**

If your dataset is too large, you can define a sampling strategy.

We plan to add support for distributed computation in the later version.

### **Do you have a Slack chat?**

We have a [Discord community](https://discord.gg/xZjKRaNp8b)!


---

# Agent Instructions: 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://docs-old.evidentlyai.com/v0.1.57/support/f.a.q..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.