This page shows you how to get index information.

You can view index information using the Pinecone console.

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List all indexes in a project

Use the list_indexes operation to get a complete description of all indexes in a project:

The list_indexes operation returns a response like the following:

With the Python SDK, you can use the .names() helper function to iterate over the index names in the list_indexes() response, for example:

Python
from pinecone.grpc import PineconeGRPC as Pinecone
from pinecone import ServerlessSpec

pc = Pinecone(api_key="YOUR_API_KEY")

index_name = "example-index3"
if not pc.has_index(index_name):
  # Do something, such as create the index
  pc.create_index(
    name=index_name,
    dimension=1536,
    metric='cosine',
    spec=ServerlessSpec(
      cloud="aws",
      region="us-east-1"
    )
  )

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Get information about an index

Use the describe_index endpoint to get a complete description of a specific index:

The describe_index operation uses a different API (api.pinecone.io) than data plane operations such as upsert and query. In production, you should therefore not rely on describe_index to programmatically get an index endpoint for data manipulation operations. Instead, you should get an index endpoint once and cache it for reuse or specify the endpoint directly.

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