Context Data ↗

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.

export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) => {primaryLabel && primaryHref &&

  {primaryLabel}

<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
  <path d="M9.70492 6L8.29492 7.41L12.8749 12L8.29492 16.59L9.70492 18L15.7049 12L9.70492 6Z" fill="white" />
</svg>

{secondaryLabel && secondaryHref &&

    {secondaryLabel}
  
</a>

}

;

Using Context Data, you can easily create end-to-end data flows by connecting to a myriad of data sources (PostgreSQL, MySQL, Amazon S3, Salesforce, etc.), seamlessly embedding and writing the results to Pinecone using Context Data’s super simple no-code web interface. These flows can also be configured to be triggered and run on a user-defined schedule.

Additionally, Context Data provides the ability to create transformations like aggregations, joins, and feature engineering using SQL common table expressions before writing to Pinecone.

You also have the ability to “chat” with your Pinecone indexes directly from Context Data’s privacy-focused Query Studio.