GET
/
indexes
/
{index_name}
# pip install pinecone-client[grpc]
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

pc.describe_index("movie-recommendations")
{
  "name": "movie-recommendations",
  "dimension": 1536,
  "metric": "cosine",
  "host": "movie-recommendations-c01b5b5.svc.us-east1-gcp.pinecone.io",
  "status": {
    "ready": false,
    "state": "Initializing"
  },
  "spec": {
    "serverless": {
      "cloud": "aws",
      "region": "us-east-1"
    }
  }
}
# pip install pinecone-client[grpc]
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

pc.describe_index("movie-recommendations")

Authorizations

Api-Key
string
headerrequired

Path Parameters

index_name
string
required

The name of the index to be described.

Response

200 - application/json
name
string
required

The name of the index. Resource name must be 1-45 characters long, start and end with an alphanumeric character, and consist only of lower case alphanumeric characters or '-'.

dimension
integer
required

The dimensions of the vectors to be inserted in the index.

metric
enum<string>
default: cosinerequired

The distance metric to be used for similarity search. You can use 'euclidean', 'cosine', or 'dotproduct'.

Available options:
cosine,
euclidean,
dotproduct
host
string
required

The URL address where the index is hosted.

spec
object
required
status
object
required