Confluent

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Original Documentation

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>

}

;

Confluent allows you to connect and process all of your data in real time with a cloud-native and complete data streaming platform available everywhere you need it. Confluent’s Kafka Connect is a tool for scalably and reliably streaming data between Apache Kafka and other data systems. It makes it simple to quickly define connectors that move large data sets in and out of Kafka.

Use the Pinecone Sink Connector, a Kafka Connect plugin for Pinecone, to take content from Confluent Cloud, convert it into vector embeddings using large language models (LLMs), and then store these embeddings in a Pinecone vector database.

<PrimarySecondaryCTA primaryLabel={“Get started”} primaryHref={ “https://www.confluent.io/hub/confluentinc/kafka-connect-pinecone-sink" } secondaryLabel={“View setup guide”} secondaryHref={ “https://docs.confluent.io/cloud/current/connectors/cc-pinecone-sink.html" } />

Link last verified June 7, 2026. View original ↗
Source: Pinecone Docs
Link last verified: 2026-03-04