> For the complete documentation index, see [llms.txt](https://neutron-4.gitbook.io/neutron-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://neutron-4.gitbook.io/neutron-docs/how-to-guides/query-seeds.md).

# Query Seeds

#### Step 1: Open Context Studio

1. Go to a **Combined Context** you created.
2. Click the **Query Seeds** tab.

***

#### Step 2: Ask Your Question

Type a natural question in plain language, for example:

* “Summarize these notes in bullet form.”
* “Compare the three research papers here.”
* “Extract key dates or company names.”

The **myNeutron Assistant** reads your Seeds in real time and gives answers only from your stored data.

***

#### Step 3: Refine or Expand

You can ask follow-ups to improve or extend the response:

* “Rewrite that summary in plain English.”
* “Add a short conclusion.”
* “List the main sources.”

This lets you explore your knowledge conversationally without leaving myNeutron.

***

#### Step 4: Copy or Export

You can copy the response or export it for reuse in another AI or document.

> **Note:** myNeutron Assistant only works with your stored Seeds.\
> It doesn’t use public web data unless you connect such datasets yourself.


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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://neutron-4.gitbook.io/neutron-docs/how-to-guides/query-seeds.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.