# Managing Seeds

All Seeds appear in your **Dashboard → Seeds** tab.\
Here, you can view, edit, organize, or delete them.

***

#### Available Actions

* **Edit Title or Description:** Rename or update your Seed.
* **Delete:** Remove Seeds you no longer need.
* **Tagging (coming soon):** Add custom tags or categories.
* **Linking:** View related Seeds through context similarity.

Each Seed card shows a quick preview, capture date, and type (page, file, email, etc.).

***

#### Searching and Filtering

myNeutron includes **semantic and visual search**, so it understands meaning, not just keywords.

You can:

* **Search by text** to find related content, even if the words differ.
* **Search by image** to find visually or semantically similar Seeds.
* **Filter by type, date, or source.**

**Examples:**

* Type *meeting notes about API integration* → finds notes, PDFs, and emails.
* Upload a *diagram screenshot* → finds matching slides or documents.

**Powered by Dual-Model AI Search:**\
One model understands text meaning, and the other visual content.

***

### Combining Seeds into Context

Once you have multiple Seeds, you can group them into a **Combined Context.**\
A Combined Context is a curated dataset that can be queried or exported to any AI.

***

#### Steps

1. Go to **Dashboard → Seeds.**
2. Select multiple Seeds using checkboxes.
3. Click **Generate Context.**

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#### Inside Context Studio

* View all selected Seeds as one combined dataset.
* See token count and Seed statistics.
* Copy the full context to clipboard.
* Query directly in myNeutron using the Assistant.

***

#### When to Use Combined Contexts

* Preparing an AI brief or report.
* Researching across multiple documents.
* Building project or client-specific datasets.

**Pro Tip:**\
Combined Contexts help your AI stay focused by reducing noise and improving accuracy.

***

#### Quick Example

**Goal:** Summarize five related articles on “AI Tokenization.”

| Step | Action                                  | Result                                          |
| ---- | --------------------------------------- | ----------------------------------------------- |
| 1    | Save articles with the Chrome Extension | 5 new Seeds created                             |
| 2    | Select all 5 Seeds                      | Ready to combine                                |
| 3    | Click **Generate Context**              | New Combined Context: *AI Tokenization Summary* |
| 4    | Open in Context Studio                  | View and query directly with the Assistant      |


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# 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://neutron-4.gitbook.io/neutron-docs/getting-started/seeds-the-foundation-of-myneutron/managing-seeds.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.