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

# Box

> Connect Pinecone and Box to ship vector search and RAG: embed, index, and query at scale with managed infrastructure.

export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) => <div style={{
  display: 'flex',
  alignItems: 'center',
  gap: 16
}}>
   {primaryLabel && primaryHref && <div style={{
  width: 'fit-content',
  height: 42,
  background: 'var(--brand-blue)',
  borderRadius: 4,
  overflow: 'hidden',
  flexDirection: 'column',
  justifyContent: 'center',
  alignItems: 'center',
  display: 'inline-flex'
}}>
      <a href={primaryHref} target={primaryTarget} style={{
  paddingLeft: 22,
  paddingRight: 22,
  paddingTop: 8,
  paddingBottom: 8,
  justifyContent: 'center',
  alignItems: 'center',
  gap: 4,
  display: 'inline-flex',
  textDecoration: 'none',
  borderBottom: 'none'
}}>
        <div style={{
  textAlign: 'justify',
  color: 'var(--text-contrast)',
  fontSize: 15,
  fontWeight: '600',
  letterSpacing: 0.46,
  wordWrap: 'break-word'
}}>
          {primaryLabel}
        </div>
        <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" style={{
  marginLeft: 2
}}>
          <path d="M9.70492 6L8.29492 7.41L12.8749 12L8.29492 16.59L9.70492 18L15.7049 12L9.70492 6Z" fill="white" style={{
  fille: "var(--text-contrast)"
}} />
        </svg>
      </a>
    </div>}

    {secondaryLabel && secondaryHref && <div style={{
  width: 'fit-content',
  height: 42,
  borderRadius: 4,
  overflow: 'hidden',
  flexDirection: 'column',
  justifyContent: 'center',
  alignItems: 'center',
  display: 'inline-flex',
  textDecoration: 'none'
}}>
        <a href={secondaryHref} target={secondaryTarget} style={{
  paddingLeft: 11,
  paddingRight: 11,
  paddingTop: 8,
  paddingBottom: 8,
  justifyContent: 'center',
  alignItems: 'center',
  gap: 8,
  display: 'inline-flex',
  textDecoration: 'none',
  borderBottom: 'none'
}}>
          <div style={{
  textAlign: 'justify',
  color: 'var(--brand-blue)',
  fontSize: 15,
  fontWeight: '600',
  letterSpacing: 0.46,
  wordWrap: 'break-word'
}}>
            {secondaryLabel}
          </div>
        </a>
      </div>}

  </div>;

Connect a [Box](https://www.box.com/) account to a Pinecone vector database.

This integration allows embeddings generation based on content stored in a particular account and folder in Box. By default, the Pinecone Inference API is used, as well as OpenAI for the LLM. The integration can be used within a larger AI agent or workflow.

<PrimarySecondaryCTA primaryHref={"https://medium.com/box-developer-blog/demo-box-pinecone-f03783c412bb"} primaryLabel={"Get started"} />
