Database
Architecture
Indexes
List indexes
This operation returns a list of all indexes in a project.
GET
https://api.pinecone.io
/
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
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.
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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"
}
}]
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