# Manage your embedded knowledge ## Browse Embedded Knowledge Details page On the navigation bar, choose **Personal > Your Knowledge**. Locate the **View Details** button on the right side of the "Your Knowledge" section and click it. Then, you will see the **Embedded knowledge detail** page.

Your Knowledge section and <strong>View Details</strong> button — Your Knowledge section and **View Details** button

The table of knowledge files' details includes these attributes: * **Documents:** Name of the document or slack channel. * **Source:** The resource from where the file is uploaded (Drive, Mail, Slack, Dropbox, and Rememberizer App). * **Directory:** The directory where the file locates in the source. * **Status**: The status of the file (indexing, indexed or error). * **Size**: The size of the file. * **Indexed on**: The date when the file is indexed. * **Actions:** The button to delete the file. For file whose status is error, there will also be a retry icon next to the trash icon (delete button). ## Features of detail page ### Search and filter the files User can search the document by name with the **search bar**. Type the name in the bar, then press Enter to get your result.

You can also optionally choose the **Status filter** and **Source filter.** This will quickly locate specific documents by narrowing down your search criteria.

### Delete an uploaded file Find the file you want to delete (by search if needed). Then click on the **trash icon** on the **Action** column.

A modal will pop up to confirm deletion. Click **Confirm** then you will see the file deleted.

### Retry indexing error files User can retry to embed those files which Rememberizer failed to index. To retry indexing a specific file, simply click the retry button next to the delete button in **Action** column.

If user want to retry indexing all error files, click the retry button next to the label of **Action** column.

Below is the image after sucessful retry indexing the error file from Gmail integration.

--- # 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/manage-your-embedded-knowledge.md?ask= ``` 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.