> ## Documentation Index
> Fetch the complete documentation index at: https://docs.corvic.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Get started with Corvic in minutes

## Get started in three steps

Get your first embedding space running and start deriving insights from your data.

### Step 1: Access the Platform

<AccordionGroup>
  <Accordion icon="user" title="Create an account">
    Visit [app.corvic.ai](https://app.corvic.ai) to create your account and access the Corvic Platform.

    Once you've created your account, you'll have access to your organization dashboard where you can manage users, roles, and data rooms.
  </Accordion>

  <Accordion icon="folder" title="Create a Data Room">
    Data Rooms are exclusive workspaces where you can upload and manage your data.

    1. Navigate to the Rooms section in your dashboard
    2. Click "Create New Room"
    3. Give your room a descriptive name
    4. Your room is now ready for data ingestion

    <Tip>Each data room is isolated, meaning data in one room is not accessible from another.</Tip>
  </Accordion>
</AccordionGroup>

### Step 2: Upload and Process Data

<AccordionGroup>
  <Accordion icon="upload" title="Upload Data Sources">
    Upload your data to the data room:

    1. Navigate to your data room
    2. Go to the Data Sources section
    3. Click the "+" button next to "Data Sources"
    4. Upload your data files (supports parquet, PDF, PPTX, TXT, MD, DOCX, HTML, and other formats)
    5. Wait for the data to be uploaded and processed

    <Tip>You can upload files from your local system or connect to external storage buckets like Amazon S3 or Azure Blob Storage.</Tip>
  </Accordion>

  <Accordion icon="window" title="Create Data App">
    Create a data app to parse, clean/augment data, and embed it:

    1. Click "Create Data App" in your data room
    2. Give your data app a name and description
    3. Drag and drop your data sources onto the canvas
    4. Click the "+" button next to the data source to view available actions
    5. Apply actions to process your data:
       * **Parse**: For unstructured data (extracts textual, structural, and image information)
       * **Extract Tables**: For structured data (analyzes and generates tabular outputs)
    6. Create Corvic Tables from the processed data
    7. Use the **Embed** action to generate embeddings from your Corvic Tables
    8. Click "Run" to execute the workflow

    <Tip>You can use the "Apply Template" action to quickly set up a KnowledgeGraph RAG pipeline.</Tip>
  </Accordion>
</AccordionGroup>

### Step 3: Create an Agent

<Accordion icon="robot" title="Configure an Agent">
  Create an agent to interact with your embeddings:

  1. Go to Agents in your data room
  2. Click "Create Agent"
  3. Select the spaces you want the agent to use
  4. Configure the LLM parameters
  5. Add specific instructions for using those spaces
  6. Save and activate your agent

  <Note>An Agent plans how to leverage multiple embedding spaces to derive enterprise insights for user queries.</Note>
</Accordion>

## Next steps

Now that you have your first embedding space running, explore these key features:

<CardGroup cols={2}>
  <Card title="Core Concepts" icon="book" href="/concepts/introduction">
    Learn about Corvic's Intelligence Composition Platform, architecture, data apps, agents, and administration.
  </Card>

  <Card title="Sample Datasets" icon="table" href="/features/datasets">
    Explore sample datasets to understand use cases.
  </Card>

  <Card title="API Integrations" icon="plug" href="/integrations/overview">
    Integrate Corvic with your existing workflows.
  </Card>

  <Card title="Admin Console" icon="gear" href="/concepts/admin-console">
    Manage users, roles, and platform settings.
  </Card>
</CardGroup>

<Note>
  **Need help?** Check out our [full documentation](/concepts/introduction) or contact [support@corvic.ai](mailto:support@corvic.ai).
</Note>