Customers who sign up for a Standard or Enterprise plan on or after August 18, 2025 cannot create pod-based indexes. Instead, create serverless indexes, and consider using dedicated read capacity for large workloads (millions of records or more, and moderate or high query rates).
You can restore a pod-based index by creating a new index from a collection.

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Create a pod-based index from a collection

To create a pod-based index from a collection, use the create_index endpoint and provide a source_collection parameter containing the name of the collection from which you wish to create an index. The new index can differ from the original source index: the new index can have a different name, number of pods, or pod type. The new index is queryable and writable. 
from pinecone.grpc import PineconeGRPC as Pinecone, PodSpec

pc = Pinecone(api_key="YOUR_API_KEY")

pc.create_index(
  name="docs-example",
  dimension=128,
  metric="cosine",
  spec=PodSpec(
    environment="us-west-1-gcp",
    pod_type="p1.x1",
    pods=1,
    source_collection="example-collection"
  )
)