# Search your knowledge

## Search in Rememberizer

* In the navigation bar, choose **Personal > Search Your Knowledge**. Then you will see the search page in Rememberizer

{% hint style="info" %}
Rememberizer's search uses advanced vector embeddings to find semantically similar content rather than just keyword matches. To learn more about how this technology works, see [What are Vector Embeddings and Vector Databases?](/background/what-are-vector-embeddings-and-vector-databases.md)

Developers can access this same semantic search capability via API. See [Search for documents by semantic similarity](/developer-resources/api-docs/search-for-documents-by-semantic-similarity.md) for details.
{% endhint %}

<figure><img src="/files/GUVmMpftQqnsVTrSo8Eg" alt="navbar search rememberizer (1)"><figcaption></figcaption></figure>

<figure><img src="/files/EnZUXKtfwD36DcKGUrSt" alt="search rememberizer page"><figcaption></figcaption></figure>

* Type the question or theme you want to search, then choose the the memento you want to limit the app's access and click Rememberizer button (or press Enter). The search process may take a few minutes, depending on the amount of data in the Memento.

<figure><img src="/files/D3L1uGGB3pX7HKPPPp03" alt="Memento Filtering in search Rememberizer" width="269"><figcaption><p>Memento Filtering in search Rememberizer</p></figcaption></figure>

* Eventually, you will see list of documents matching question or theme you require. You can click to the file and it will dropdown the matching chunk text related to your question or theme.

<figure><img src="/files/Ku7j3qPuaBaPzhShT7aa" alt="An example of search result"><figcaption><p>An example of search result</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/personal-use/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.