from pinecone.grpc import PineconeGRPC as Pinecone
pc = Pinecone(api_key='YOUR_API_KEY')
active_collections = pc.list_collections()
{
"collections": [
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 3081918,
"vector_count": 99,
"dimension": 3
},
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 160087040000000,
"vector_count": 10000000,
"dimension": 1536
}
]
}
This operation returns a list of all collections in a project. Serverless indexes do not support collections.
from pinecone.grpc import PineconeGRPC as Pinecone
pc = Pinecone(api_key='YOUR_API_KEY')
active_collections = pc.list_collections()
{
"collections": [
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 3081918,
"vector_count": 99,
"dimension": 3
},
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 160087040000000,
"vector_count": 10000000,
"dimension": 1536
}
]
}
from pinecone.grpc import PineconeGRPC as Pinecone
pc = Pinecone(api_key='YOUR_API_KEY')
active_collections = pc.list_collections()
{
"collections": [
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 3081918,
"vector_count": 99,
"dimension": 3
},
{
"name": "example-collection1",
"status": "Ready",
"environment": "us-east-1-aws",
"size": 160087040000000,
"vector_count": 10000000,
"dimension": 1536
}
]
}
This operation returns a list of all the collections in your current project.
The list of collections that exist in the project.
Show child attributes
The name of the collection.
"example-collection"
The status of the collection.
Initializing, Ready, Terminating "Initializing"
The environment where the collection is hosted.
"us-east1-gcp"
The size of the collection in bytes.
10000000
The dimension of the vectors stored in each record held in the collection.
1 <= x <= 200001536
The number of records stored in the collection.
120000
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