> ## Documentation Index
> Fetch the complete documentation index at: https://unstructured-53-kapa-ai.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Pinecone

> This page contains the information to store processed data to Pinecone vector database.

## Prerequisites

* Pinecone Account and API Key

* Pinecone Index

For more information, please refer to [Pinecone documentation](https://docs.pinecone.io/docs/quickstart).

## Step-by-Step Guide

![Pinecone Destination Connector](https://mintlify.s3-us-west-1.amazonaws.com/unstructured-53-kapa-ai/img/platform/Destination-Pinecone.png)

1. **Access the Create Destination Page**. Navigate to the “Destinations” section within the platform’s side navigation menu and click on “New Destination” to initiate the setup of a new destination for your processed data.

2. **Select Destination Type**. Select **Pinecone** destination connector from the `Type` dropdown menu.

3. **Configure Destination Details**

<Note>
  * `Name` (*required*): Assign a descriptive name to the new destination connector.

  * `Index Name` (*required*): Enter the name of the index in the Pinecone database where the data will be stored.

  * `Environment` (*required*): Enter the Pinecone environment in which the index instance is hosted.

  * `Batch Size` (*required*): Define the number of records the platform will send in a single batch to the destination.

  * `API Key` (*required*): Input the API key provided by Pinecone for secure access.
</Note>

4. **Submit**. Review all the details entered to ensure accuracy. Click ‘Submit’ to finalize the creation of the Destination Connector. The newly completed connector will be listed on the Destinations dashboard.