> ## Documentation Index
> Fetch the complete documentation index at: https://resources.latex-cloud-studio.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Knowledge Base

> Use the LaTeX Cloud Studio knowledge base to keep project PDFs, extracted text, and reusable source context inside one manuscript project.

<Info>
  **Status**: Live\
  **Last reviewed**: April 12, 2026\
  **Applies to**: Project-level source management and reusable AI context
</Info>

Use the knowledge base when a project needs stable source memory instead of one-off uploads and disconnected browser tabs.

## What The Knowledge Base Is For

The knowledge base gives a project its own source layer.

Use it to:

* keep relevant papers and source PDFs inside the same project as the manuscript
* reuse extracted text as project-aware AI context
* review what sources are already available before running more research
* keep source handling closer to the draft, bibliography, and comments workflow

## What You Can Add Today

The current public add-resource flow accepts **PDF documents**.

That covers common research inputs such as:

* journal papers
* preprints
* book chapters
* technical reports
* scanned reference documents

<Warning>
  The current public knowledge-base upload flow is PDF-only. Do not present notes, web links, or arbitrary file types as generally available upload paths unless the product UI changes.
</Warning>

## What The Workspace Exposes

Inside the knowledge base workflow, the project can expose:

* a searchable list of project sources
* file name and title metadata
* processing state for uploaded resources
* extracted text when text extraction is available
* source search across the current project collection

This makes the knowledge base useful as more than file storage. It becomes a reusable project context layer for AI-assisted work.

## How It Fits Into The Research Workflow

The strongest use of the knowledge base is not storage by itself. It is the handoff between source memory and manuscript work.

Typical flow:

1. Upload the core papers or reports for the project.
2. Use the knowledge base as the first source layer for project-aware AI context.
3. Run the research workspace when you need follow-up literature beyond the uploaded set.
4. Accept the strongest sources into project memory.
5. Move accepted evidence toward bibliography and citation workflows in the manuscript.

## What This Page Does Not Promise

* It does not claim support for arbitrary non-PDF upload types.
* It does not claim that every external research result is silently imported into the project.
* It does not claim that source storage alone verifies the quality of a citation or argument.

## Related Pages

* [AI Research Agent](/product/ai-research-agent)
* [Editor & AI Assistance](/product/editor-and-ai-assistance)
* [Projects, Files & Templates](/product/projects-files-and-templates)
* [Writing a Research Paper in LaTeX](/learn/latex/how-to/writing-research-paper)

## Start in LaTeX Cloud Studio

<CardGroup cols={2}>
  <Card title="Open in LaTeX Cloud Studio" icon="cloud" href="https://app.latex-cloud-studio.com/?utm_source=resources&utm_medium=cta&utm_campaign=research_workflow&utm_content=knowledge_base_open_app">
    Open a project and build the source set where the manuscript work actually happens.
  </Card>

  <Card title="Writing a Research Paper in LaTeX" icon="file-text" href="/learn/latex/how-to/writing-research-paper?utm_source=resources&utm_medium=related_guide&utm_campaign=research_workflow&utm_content=knowledge_base_doc">
    See how the knowledge base fits into drafting, bibliography, and citation work.
  </Card>
</CardGroup>