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Configuration

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

weaviate = ff.register_weaviate(
    name="weaviate-quickstart",
    url="https://<CLUSTER NAME>.weaviate.network",
    api_key="<API KEY>"
    description="A Weaviate project for using embeddings in Featureform"
)

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 when defining an embedding. We can re-verify that the provider is created by checking the Providers tab of the Feature Registry or via the CLI.