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

# AI Integration for Self-Hosted

To use AI-powered Chat on your self-hosted installation, follow these steps:

* Ensure you have pgDash version 3.5.27 or above installed. If you need to upgrade, follow the instructions in the [Self-hosted](/self-hosted.md) page.
* Currently, OpenAI and Google Gemini are supported as AI providers. Obtain an API key from either of these providers. pgDash uses the chat completion / text generation APIs fot the AI-powered Chat feature.
* Edit `/etc/pgdash/pgdash.cfg` and locate the `[ai]` section. Set the keys appropriately:
  * `provider` to either `openai` or `gemini`
  * `apikey` to the API key from OpenAI or Gemini
  * `model` to any model from the provider that supports chat completion / text generation.

pgDash benefits a lot from larger context windows. As of now, we recommend using Google Gemini with `gemini-2.5-pro`  model.

All responses of AI must be verified before use.

Finally, note that OpenAI or Google Gemini will charge you for the API calls made to enable the AI responses.


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# 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.pgdash.io/ai.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.