Pinecone

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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

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 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.