# pinecone

> For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [connect-full.txt](https://docs.redpanda.com/connect-full.txt)

---
title: pinecone
latest-connect-version: 4.93.0
latest-operator-version: v26.1.4
latest-console-tag: v3.7.3
latest-redpanda-tag: v26.1.9
docname: outputs/pinecone
page-component-name: connect
page-version: master
page-component-version: master
page-component-title: Connect
page-relative-src-path: outputs/pinecone.adoc
page-edit-url: https://github.com/redpanda-data/rp-connect-docs/edit/main/modules/components/pages/outputs/pinecone.adoc
page-git-created-date: "2024-08-15"
page-git-modified-date: "2026-05-26"
---

<!-- Source: https://docs.redpanda.com/connect/components/outputs/pinecone.md -->

**Available in:** [Cloud](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/outputs/pinecone/%20%22View%20the%20Cloud%20version%20of%20this%20component%22), Self-Managed

Inserts items into a Pinecone index.

Introduced in version 4.31.0.

#### Common

```yml
outputs:
  label: ""
  pinecone:
    max_in_flight: 64
    batching:
      count: 0
      byte_size: 0
      period: ""
      check: ""
      processors: [] # No default (optional)
    host: "" # No default (required)
    api_key: "" # No default (required)
    operation: upsert-vectors
    id: "" # No default (required)
    vector_mapping: "" # No default (optional)
    metadata_mapping: "" # No default (optional)
```

#### Advanced

```yml
outputs:
  label: ""
  pinecone:
    max_in_flight: 64
    batching:
      count: 0
      byte_size: 0
      period: ""
      check: ""
      processors: [] # No default (optional)
    host: "" # No default (required)
    api_key: "" # No default (required)
    operation: upsert-vectors
    namespace: ""
    id: "" # No default (required)
    vector_mapping: "" # No default (optional)
    metadata_mapping: "" # No default (optional)
```

## [](#performance)Performance

This output benefits from sending multiple messages in flight in parallel for improved performance. You can tune the max number of in flight messages (or message batches) with the field `max_in_flight`.

This output benefits from sending messages as a batch for improved performance. Batches can be formed at both the input and output level. You can find out more [in this doc](https://docs.redpanda.com/connect/configuration/batching/).

## [](#fields)Fields

### [](#api_key)`api_key`

The Pinecone API key.

> ⚠️ **CAUTION**
>
> This field contains sensitive information that usually shouldn’t be added to a configuration directly. For more information, see [Secrets](https://docs.redpanda.com/connect/configuration/secrets/).

**Type**: `string`

### [](#batching)`batching`

Allows you to configure a [batching policy](https://docs.redpanda.com/connect/configuration/batching/).

**Type**: `object`

```yaml
# Examples:
batching:
  byte_size: 5000
  count: 0
  period: 1s

# ---

batching:
  count: 10
  period: 1s

# ---

batching:
  check: this.contains("END BATCH")
  count: 0
  period: 1m
```

### [](#batching-byte_size)`batching.byte_size`

An amount of bytes at which the batch should be flushed. If `0` disables size based batching.

**Type**: `int`

**Default**: `0`

### [](#batching-check)`batching.check`

A [Bloblang query](https://docs.redpanda.com/connect/guides/bloblang/about/) that should return a boolean value indicating whether a message should end a batch.

**Type**: `string`

**Default**: `""`

```yaml
# Examples:
check: this.type == "end_of_transaction"
```

### [](#batching-count)`batching.count`

A number of messages at which the batch should be flushed. If `0` disables count based batching.

**Type**: `int`

**Default**: `0`

### [](#batching-period)`batching.period`

A period in which an incomplete batch should be flushed regardless of its size.

**Type**: `string`

**Default**: `""`

```yaml
# Examples:
period: 1s

# ---

period: 1m

# ---

period: 500ms
```

### [](#batching-processors)`batching.processors[]`

A list of [processors](https://docs.redpanda.com/connect/components/processors/about/) to apply to a batch as it is flushed. This allows you to aggregate and archive the batch however you see fit. Please note that all resulting messages are flushed as a single batch, therefore splitting the batch into smaller batches using these processors is a no-op.

**Type**: `processor`

```yaml
# Examples:
processors:
  - archive:
      format: concatenate

# ---

processors:
  - archive:
      format: lines

# ---

processors:
  - archive:
      format: json_array
```

### [](#host)`host`

The host for the Pinecone index.

**Type**: `string`

### [](#id)`id`

The ID for the index entry in Pinecone. This field supports [interpolation functions](https://docs.redpanda.com/connect/configuration/interpolation/#bloblang-queries).

**Type**: `string`

### [](#max_in_flight)`max_in_flight`

The maximum number of messages to have in flight at a given time. Increase this to improve throughput.

**Type**: `int`

**Default**: `64`

### [](#metadata_mapping)`metadata_mapping`

An optional mapping of message to metadata in the Pinecone index entry.

**Type**: `string`

```yaml
# Examples:
metadata_mapping: root = @

# ---

metadata_mapping: root = metadata()

# ---

metadata_mapping: root = {"summary": this.summary, "foo": this.other_field}
```

### [](#namespace)`namespace`

The namespace to write to - writes to the default namespace by default. This field supports [interpolation functions](https://docs.redpanda.com/connect/configuration/interpolation/#bloblang-queries).

**Type**: `string`

**Default**: `""`

### [](#operation)`operation`

The operation to perform against the Pinecone index.

**Type**: `string`

**Default**: `upsert-vectors`

**Options**: `update-vector`, `upsert-vectors`, `delete-vectors`

### [](#vector_mapping)`vector_mapping`

The mapping to extract out the vector from the document. The result must be a floating point array. Required if not a delete operation.

**Type**: `string`

```yaml
# Examples:
vector_mapping: root = this.embeddings_vector

# ---

vector_mapping: root = [1.2, 0.5, 0.76]
```