Configure an index

from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

pc.configure_index(
    name="docs-example", 
    pod_type="p1.x2", 
    replicas=4,
    deletion_protection="enabled"
)

{
    "name": "docs-example",
    "metric": "cosine",
    "dimension": 1536,
    "status": {
        "ready": true,
        "state": "Ready"
    },
    "host": "docs-example1-4zo0ijk.svc.dev-us-west2-aws.pinecone.io",
    "spec": {
        "serverless": {
            "region": "us-east-1",
            "cloud": "aws"
        }
    }
}

Authorizations

Api-Key

string

header

required

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

Path Parameters

index_name

string

required

The name of the index to configure.

Body

application/json

The desired pod size and replica configuration for the index.

Configuration used to scale an index.

spec

object

Show child attributes

spec.pod

object

required

Show child attributes

spec.pod.replicas

integer<int32>

default:1

The number of replicas. Replicas duplicate your index. They provide higher availability and throughput. Replicas can be scaled up or down as your needs change.

Required range: x >= 1

spec.pod.pod_type

string

default:p1.x1

The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.

deletion_protection

enum<string>

default:disabled

Whether deletion protection is enabled/disabled for the index.

Available options:

disabled,

enabled

Response

The request to configure the index has been accepted. Check the index status to see when the change has been applied.

The IndexModel describes the configuration and status of a Pinecone index.

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 '-'.

Required string length: 1 - 45

Example:

"example-index"

dimension

integer<int32>

required

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

Required range: 1 <= x <= 20000

Example:

1536

metric

enum<string>

default:cosine

required

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.

Example:

"semantic-search-c01b5b5.svc.us-west1-gcp.pinecone.io"

spec

object

required

Show child attributes

spec.pod

object

Configuration needed to deploy a pod-based index.

Show child attributes

spec.pod.environment

string

required

The environment where the index is hosted.

Example:

"us-east1-gcp"

spec.pod.pod_type

string

default:p1.x1

required

The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.

spec.pod.replicas

integer<int32>

default:1

The number of replicas. Replicas duplicate your index. They provide higher availability and throughput. Replicas can be scaled up or down as your needs change.

Required range: x >= 1

spec.pod.shards

integer<int32>

default:1

The number of shards. Shards split your data across multiple pods so you can fit more data into an index.

Required range: x >= 1

spec.pod.pods

integer

default:1

The number of pods to be used in the index. This should be equal to shards x replicas.'

Required range: x >= 1

Example:

1

spec.pod.metadata_config

object

Configuration for the behavior of Pinecone's internal metadata index. By default, all metadata is indexed; when metadata_config is present, only specified metadata fields are indexed. These configurations are only valid for use with pod-based indexes.

Show child attributes

spec.pod.metadata_config.indexed

string[]

By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields that should be indexed.

Example:

{
  "indexed": ["genre", "title", "imdb_rating"]
}

spec.pod.source_collection

string

The name of the collection to be used as the source for the index.

Example:

"movie-embeddings"

Example:

{
  "environment": "us-east1-gcp",
  "metadata_config": {
    "indexed": ["genre", "title", "imdb_rating"]
  },
  "pod_type": "p1.x1",
  "pods": 1,
  "replicas": 1,
  "shards": 1,
  "source_collection": "movie-embeddings"
}

spec.serverless

object

Configuration needed to deploy a serverless index.

Show child attributes

spec.serverless.cloud

enum<string>

required

The public cloud where you would like your index hosted.

Available options:

gcp,

aws,

azure

Example:

"aws"

spec.serverless.region

string

required

The region where you would like your index to be created.

Example:

"us-east-1"

Example:

{
  "pod": {
    "environment": "us-east-1-aws",
    "metadata_config": {
      "indexed": ["genre", "title", "imdb_rating"]
    },
    "pod_type": "p1.x1",
    "pods": 1,
    "replicas": 1,
    "shards": 1
  }
}

status

object

required

Show child attributes

status.ready

boolean

required

status.state

enum<string>

required

Available options:

Initializing,

InitializationFailed,

ScalingUp,

ScalingDown,

ScalingUpPodSize,

ScalingDownPodSize,

Terminating,

Ready

Example:

{
  "ready": true,
  "state": "ScalingUpPodSize"
}

deletion_protection

enum<string>

default:disabled

Whether deletion protection is enabled/disabled for the index.

Available options:

disabled,

enabled

APIs

Database

SDKs

CLI

Tools

Authorizations

Path Parameters

Body

Response