> ## Documentation Index
> Fetch the complete documentation index at: https://unstructured-53-docs-243-plugins.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Pinecone

<Note>
  If you're new to Unstructured, read this note first.

  Before you can create a destination connector, you must first [sign up for Unstructured](https://platform.unstructured.io) and get your
  Unstructured API key. After you sign up, the [Unstructured user interface](/ui/overview) (UI) appears, which you use to get the key.
  To learn how, watch this 40-second [how-to video](https://www.youtube.com/watch?v=FucugLkYB6M).

  After you create the destination connector, add it along with a
  [source connector](/api-reference/workflow/sources/overview) to a [workflow](/api-reference/workflow/overview#workflows).
  Then run the worklow as a [job](/api-reference/workflow/overview#jobs). To learn how, try out the
  [hands-on Workflow Endpoint quickstart](/api-reference/workflow/overview#quickstart),
  go directly to the [quickstart notebook](https://colab.research.google.com/drive/13f5C9WtUvIPjwJzxyOR3pNJ9K9vnF4ww),
  or watch the two 4-minute video tutorials for the [Unstructured Python SDK](/api-reference/workflow/overview#unstructured-python-sdk).

  You can also create destination connectors with the Unstructured user interface (UI).
  [Learn how](/ui/destinations/overview).

  If you need help, reach out to the [community](https://short.unstructured.io/pzw05l7) on Slack, or
  [contact us](https://unstructured.io/contact) directly.

  You are now ready to start creating a destination connector! Keep reading to learn how.
</Note>

Send processed data from Unstructured to Pinecone.

The requirements are as follows.

* A Pinecone account. [Get an account](https://app.pinecone.io/).

  <iframe width="560" height="315" src="https://www.youtube.com/embed/uPoa7PLcuZ4" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen />

* A Pinecone API key. [Get an API key](https://docs.pinecone.io/guides/get-started/authentication#find-your-pinecone-api-key).

* A Pinecone serverless index. [Create a serverless index](https://docs.pinecone.io/guides/indexes/create-an-index).

  <Note>
    Unstructured recommends that all records in the target index have a field
    named `record_id` with a string data type.
    Unstructured can use this field to do intelligent document overwrites. Without this field, duplicate documents
    might be written to the index or, in some cases, the operation could fail altogether.
  </Note>

To create a Pinecone destination connector, see the following examples.

<CodeGroup>
  ```python Python SDK theme={null}
  import os

  from unstructured_client import UnstructuredClient
  from unstructured_client.models.operations import CreateDestinationRequest
  from unstructured_client.models.shared import (
      CreateDestinationConnector,
      DestinationConnectorType,
      PineconeDestinationConnectorConfigInput
  )

  with UnstructuredClient(api_key_auth=os.getenv("UNSTRUCTURED_API_KEY")) as client:
      response = client.destinations.create_destination(
          request=CreateDestinationRequest(
              create_destination_connector=CreateDestinationConnector(
                  name="<name>",
                  type=DestinationConnectorType.PINECONE,
                  config=PineconeDestinationConnectorConfigInput(
                      index_name="<index-name>", 
                      api_key="<api-key>",
                      batch_size=<batch-size>
                  )
              )
          )
      )

      print(response.destination_connector_information)
  ```

  ```bash curl theme={null}
  curl --request 'POST' --location \
  "$UNSTRUCTURED_API_URL/destinations" \
  --header 'accept: application/json' \
  --header "unstructured-api-key: $UNSTRUCTURED_API_KEY" \
  --header 'content-type: application/json' \
  --data \
  '{
      "name": "<name>",
      "type": "pinecone",
      "config": {
          "index_name" "<index-name>", 
          "api_key": "<api-key>",
          "batch_size" <batch-size>
      }
  }'
  ```
</CodeGroup>

Replace the preceding placeholders as follows:

* `<name>` (required) - A unique name for this connector.
* `<index-name>` (required) - The name of the index in the Pinecone database.
* `<api-key>` (required) - The Pinecone API key.
* `<batch-size>` - The maximum number of records to transmit in a single batch. The default is `50` unless otherwise specified.