> ## Documentation Index
> Fetch the complete documentation index at: https://docs.featureform.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Pinecone

> Featureform supports [Pinecone](https://pinecone.io/) as a [Vector DB](/providers/vector-db).

## Configuration

First we have to add a declarative Pinecone configuration in Python. The following example shows the required fields.

```python theme={null}
import featureform as ff

pinecone = ff.register_pinecone(
    name="pinecone-quickstart",
    project_id="2g13ek7",
    environment="us-west4-gcp-free",
    api_key="xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
)

client.apply()
```

Once our config file is complete, we can apply it to our Featureform deployment. Afterwards we can set it as the [Vector DB](/providers/vector-db) when defining an [embedding](/abstractions/embedding).

We can re-verify that the provider is created by checking the [Providers tab of the Feature Registry or via the CLI](/getting-started/search-monitor-discovery-feature-registry-ui-cli).