> For the complete documentation index, see [llms.txt](https://docs.skolar.li/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skolar.li/skoai/pdf-knowledge-agent.md).

# PDF Knowledge Agent

### PDF Knowledge Agent

&#x20;

This page is the **SKOAI – Upload your PDF files to SKOAI AI Engine** dashboard displaying PDF items in a **card/grid layout**. It is used to manage and process all training-related PDF documents with AI by navigating **SKOAI – GenAI ⇒Pdf Knowledge Agent** under **Knowledge Agents**

This screen lists every PDF document from different programs (pdfs in curriculums) in one centralized view.

<figure><img src="/files/KyYAypPwMSfhvnRRrkdv" alt=""><figcaption></figcaption></figure>

Each card includes:

1. A **PDF icon**, indicating the file type.
2. **Display Program name**, **Topic** name & **Sub-topic** name.
3. A **SKOAI action icon (✨)** to apply AI features on that PDF, such as:

&#x20;      o    Reading and understanding the document,

&#x20;      o    Generating summaries,

&#x20;      o    Extracting key points,

&#x20;      o    Answering questions,

&#x20;      o    Converting content into learning material.

Overall, this screen acts as a **central PDF knowledge hub**, where users can View all training PDFs across programs, Upload and manage documents, Use AI to analyze, summarize, and interact with PDF content & Make learning materials more searchable and intelligent.

**Note:** SKOAI currently supports **American and British English**, and more languages will be added soon.


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# Agent Instructions
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## 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.skolar.li/skoai/pdf-knowledge-agent.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.
