This page shows you how to create a serverless index, pod-based index, and an index from a collection.

To learn about the concepts related to indexes, see Understanding indexes.

You can create an index using the Pinecone console.

Create a serverless index

To create a serverless index, use the spec parameter to define the cloud and region where the index should be deployed. For Python, you also need to import the ServerlessSpec class.

Create a pod-based index

To create a pod-based index, import the PodSpec class and use the spec parameter to define the environment where the index should be deployed, the pod type and size to use, and other index characteristics:

For the full list of parameters available to customize an index, see the create_index API reference.

Create an index from a backup or collection

You can create a serverless index from a backup or collection or a pod-based index from a collection. For more details, see Restore an index.

Prevent index deletion

When creating an index, you can protect the index from accidental deletion by setting the deletion_protection parameter to enabled. For more details, see Prevent index deletion.

Tag an index

When creating an index, you can tag the index to help with index organization and management. For more details, see Tag an index.