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

# Introduction

> The right slice of your organization's knowledge, ready for AI in minutes

**Deasy Labs** delivers the right slice of your organization's knowledge, ready for AI in minutes. It turns unstructured data, from a sprawling SharePoint to decades of PDFs, into the exact dataset your team is building against. Connect your storage, tag thousands of files per minute with AI-extracted metadata, slice your data any way you want, and deliver AI-ready datasets to vector databases, SharePoint, SQL warehouses, and the Collibra platform.

## How It Works

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    <div className="hiw-title">Data Sources</div>

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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/s3.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=a42ea0c721a42f7aa7fb2b459ae657d6" alt="Amazon S3" noZoom width="80" height="80" data-path="images/logos/s3.svg" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/sharepoint.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=228349c850ffba4017b107de5a35d693" alt="SharePoint" noZoom width="1333" height="1333" data-path="images/logos/sharepoint.svg" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/onedrive.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=8a31fc456f983ff513c90ce99e191a8b" alt="OneDrive" noZoom width="512" height="512" data-path="images/logos/onedrive.svg" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/postgresql.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=c3761cfdc5d86adf4f8fdc2cf3f292e2" alt="PostgreSQL" noZoom width="119" height="123" data-path="images/logos/postgresql.svg" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/qdrant.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=7f84989da52f729dec1e84ca121b8199" alt="Qdrant" noZoom width="346" height="400" data-path="images/logos/qdrant.svg" />
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  <span className="how-it-works-arrow-h hiw-arrow" aria-hidden="true">→</span>

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    <div className="hiw-title">Connect & Ingest</div>
    <div className="hiw-detail">OCR + source metadata</div>
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    <div className="hiw-title">Tag</div>
    <div className="hiw-detail">AI metadata extraction</div>
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    <div className="hiw-title">Slice</div>
    <div className="hiw-detail">curated datasets</div>
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    <div className="hiw-title">Deliver</div>

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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/sharepoint.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=228349c850ffba4017b107de5a35d693" alt="SharePoint" noZoom width="1333" height="1333" data-path="images/logos/sharepoint.svg" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/azure-sql-database.png?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=3c70bcb4d749e1a8d224c88b19281057" alt="Azure SQL" noZoom width="1509" height="2000" data-path="images/logos/azure-sql-database.png" />
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        <img src="https://mintcdn.com/deasy/AxKwduILHRGyi7_f/images/logos/qdrant.svg?fit=max&auto=format&n=AxKwduILHRGyi7_f&q=85&s=7f84989da52f729dec1e84ca121b8199" alt="Qdrant" noZoom width="346" height="400" data-path="images/logos/qdrant.svg" />
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  <span>Maintained over time: [Workflows](/concepts/workflows) re-ingest, re-classify, and re-export on a schedule</span>
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<Steps>
  <Step title="Connect">
    Point a [Data Connector](/concepts/data-connectors) at your document store. No data migration needed.
  </Step>

  <Step title="Tag">
    Define what you want to know about your documents with [Tags and Taxonomies](/concepts/taxonomies-tags), or let AI suggest them. Classification generates [Metadata](/concepts/metadata) with values, evidence, and confidence for every document.
  </Step>

  <Step title="Slice">
    Build [Data Slices](/concepts/data-slices) that capture the exact subset each use case needs.
  </Step>

  <Step title="Deliver">
    Export slices to [Destinations](/concepts/destinations) and enrich documents at the source.
  </Step>

  <Step title="Maintain">
    Schedule [Workflows](/concepts/workflows) so datasets stay fresh as documents change.
  </Step>
</Steps>

## Start Building

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Go from zero to extracted metadata in under 5 minutes with the Python SDK.
  </Card>

  <Card title="Use Cases" icon="lightbulb" href="/use-cases">
    What teams build: RAG context, compliance, document management, governance.
  </Card>

  <Card title="Cookbooks" icon="utensils" href="/cookbooks/qdrant-to-qdrant">
    End-to-end recipes for RAG pipelines, PII detection, and data quality.
  </Card>

  <Card title="API Reference" icon="brackets-curly" href="/api-reference">
    Every endpoint, generated from the live OpenAPI specification.
  </Card>
</CardGroup>

## Why Teams Use It

<CardGroup cols={3}>
  <Card title="Better AI Results" icon="sparkles">
    Curate before you compute. Retrieval works on high-quality, relevant knowledge instead of raw document dumps.
  </Card>

  <Card title="Protect Sensitive Data" icon="shield-check">
    Detect PII, PHI, and PCI automatically at scale and route sensitive content before it reaches downstream systems.
  </Card>

  <Card title="Reliable Over Time" icon="clock">
    Scheduled workflows keep datasets fresh, so answers stay grounded in current documents.
  </Card>
</CardGroup>