# 搜尋你的知識

## 在 Rememberizer 中搜尋

* 在導航欄中，選擇 **個人 > 搜尋您的知識**。然後您將看到 Rememberizer 的搜尋頁面。

{% hint style="info" %}
Rememberizer 的搜尋使用先進的向量嵌入來尋找語義上相似的內容，而不僅僅是關鍵字匹配。要了解這項技術的運作方式，請參見 [什麼是向量嵌入和向量數據庫？](/zh-hk/background/what-are-vector-embeddings-and-vector-databases.md)

開發者可以通過 API 訪問這同樣的語義搜尋功能。詳情請參見 [按語義相似性搜尋文件](/zh-hk/kai-fa-zhe-zi-yuan/api-docs/search-for-documents-by-semantic-similarity.md)。
{% endhint %}

<figure><img src="/files/CpdSWLxkOdu80SGfdU7G" alt="navbar search rememberizer (1)"><figcaption></figcaption></figure>

<figure><img src="/files/Clc2CeKduAxBc1s2tMww" alt="search rememberizer page"><figcaption></figcaption></figure>

* 輸入您想搜尋的問題或主題，然後選擇您想限制應用程式訪問的紀念品，並點擊 Rememberizer 按鈕（或按 Enter 鍵）。搜尋過程可能需要幾分鐘，具體取決於紀念品中的數據量。

<figure><img src="/files/sxCShu7VIogKw6scTTw7" alt="Memento Filtering in search Rememberizer" width="269"><figcaption><p>在 Rememberizer 搜尋中的紀念品過濾</p></figcaption></figure>

* 最終，您將看到符合您要求的問題或主題的文件列表。您可以點擊文件，將顯示與您的問題或主題相關的匹配文本片段。

<figure><img src="/files/1cd8aHY1NnDVcSPciSLB" alt="An example of search result"><figcaption><p>搜尋結果的範例</p></figcaption></figure>


---

# 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.rememberizer.ai/zh-hk/ge-ren-shi-yong/personal/search-your-knowledge.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.