GET
/
indexes
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

index_list = pc.list_indexes()

print(index_list)

[{
    "name": "docs-example-sparse",
    "metric": "dotproduct",
    "host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
    "spec": {
        "serverless": {
            "cloud": "aws",
            "region": "us-east-1"
        }
    },
    "status": {
        "ready": true,
        "state": "Ready"
    },
    "vector_type": "sparse",
    "dimension": null,
    "deletion_protection": "disabled",
    "tags": {
        "environment": "development"
    }
}, {
    "name": "docs-example-dense",
    "metric": "cosine",
    "host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
    "spec": {
        "serverless": {
            "cloud": "aws",
            "region": "us-east-1"
        }
    },
    "status": {
        "ready": true,
        "state": "Ready"
    },
    "vector_type": "dense",
    "dimension": 1536,
    "deletion_protection": "disabled",
    "tags": {
        "environment": "development"
    }
}]

from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

index_list = pc.list_indexes()

print(index_list)

[{
    "name": "docs-example-sparse",
    "metric": "dotproduct",
    "host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
    "spec": {
        "serverless": {
            "cloud": "aws",
            "region": "us-east-1"
        }
    },
    "status": {
        "ready": true,
        "state": "Ready"
    },
    "vector_type": "sparse",
    "dimension": null,
    "deletion_protection": "disabled",
    "tags": {
        "environment": "development"
    }
}, {
    "name": "docs-example-dense",
    "metric": "cosine",
    "host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
    "spec": {
        "serverless": {
            "cloud": "aws",
            "region": "us-east-1"
        }
    },
    "status": {
        "ready": true,
        "state": "Ready"
    },
    "vector_type": "dense",
    "dimension": 1536,
    "deletion_protection": "disabled",
    "tags": {
        "environment": "development"
    }
}]

Authorizations

​
Api-Key
string
header
required

An API Key is required to call Pinecone APIs. Get yours from the console.

Response

200
application/json
This operation returns a list of all the indexes that you have previously created, and which are associated with the given project

The list of indexes that exist in the project.