> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/advanced-basic/knowledge-content.md).

# Knowledge and Content Workflow

Knowledge bases, notes, drawing, and translation are not isolated tools from one another. They are responsible for organizing materials, accumulating content, creating visual assets, and handling multilingual files respectively, and all can continue to be passed to the Agent for use.

<figure><img src="/files/8b5041b3f770b75a9f321578d787950900a11dfd" alt="资料进入知识库、通过召回测试、交给 Agent 并形成文字图片或译文的流程图"><figcaption><p>First use real questions for retrieval testing, then let the Agent create reports, translations, or illustrations based on the materials.</p></figcaption></figure>

## How the four entry points are divided

| Entry             | What it is suitable for                                  | Common next step                                 |
| ----------------- | -------------------------------------------------------- | ------------------------------------------------ |
| \[Knowledge Base] | Make materials searchable by question                    | Bind to a chat assistant or Agent                |
| \[Notes]          | Write, organize, and maintain Markdown content long-term | Export documents or add to the knowledge base    |
| \[Drawing]        | Generate, edit, merge, and enhance images                | Download, or hand off for content tasks          |
| \[Translation]    | Handle text, images, and documents                       | Save results, reuse history, or continue editing |

{% hint style="success" %}
If the goal is "to use these materials to complete a deliverable," directly tell the Agent in \[Work] where the materials are and what to produce. When you need to manually organize the knowledge base, adjust images, or confirm translations paragraph by paragraph, then enter the corresponding module.
{% endhint %}

<figure><img src="/files/234ab76e1553bbd72fc663014f01d7ecef9bde54" alt="新建知识库时的名称、嵌入模型和保存入口"><figcaption><p>When creating a new knowledge base, first name it, then choose the embedding model used for retrieval.</p></figcaption></figure>

## From materials to deliverables

{% stepper %}
{% step %}

### 1. Organize the sources first

Add long-term reference materials to the knowledge base, and keep drafts currently being revised in Notes or the Work directory. Do not import all unconfirmed temporary chats into the knowledge base.
{% endstep %}

{% step %}

### 2. Verify whether key information can be retrieved

Use retrieval testing in the knowledge base to confirm that real questions can find the correct snippets. If retrieval fails, fix the materials and settings first, and do not let the Agent guess.
{% endstep %}

{% step %}

### 3. Then create text, translations, and images

Have the Agent draft content based on the materials; polish images and translations separately in \[Drawing] and \[Translation]. Finally, have a human check facts and wording.
{% endstep %}
{% endstepper %}

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Build knowledge bases and retrieval tests</strong></td><td>From importing materials to verifying retrieval</td><td><a href="/pages/a3b11ea0171713e255bf47d3bc6eedce1ff067c8">/pages/a3b11ea0171713e255bf47d3bc6eedce1ff067c8</a></td></tr><tr><td><strong>Notes, knowledge bases, and Agent</strong></td><td>Make drafts, materials, and tasks flow smoothly</td><td><a href="/pages/b088b76a3785f7dd42488a8756eda6c85ddf8c9c">/pages/b088b76a3785f7dd42488a8756eda6c85ddf8c9c</a></td></tr><tr><td><strong>Image generation, editing, and enhancement</strong></td><td>Create usable images from templates</td><td><a href="/pages/10b93627b32c5f7199cc35a283788a90e2c2de9f">/pages/10b93627b32c5f7199cc35a283788a90e2c2de9f</a></td></tr><tr><td><strong>File, image, and long-form translation</strong></td><td>Handle different formats and reuse historical results</td><td><a href="/pages/6b7c3515f0a2c6427f7f197eafe0802bb6e3460a">/pages/6b7c3515f0a2c6427f7f197eafe0802bb6e3460a</a></td></tr></tbody></table>


---

# 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.cherryai.com.cn/docs/en-us/advanced-basic/knowledge-content.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.

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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.