Configure an index

This operation specifies the pod type and number of replicas for an index. It applies to pod-based indexes only. Serverless indexes scale automatically based on usage.

Authorizations

Api-Key

string

header

required

Path Parameters

index_name

string

required

The name of the index to configure.

Body

application/json

The desired pod type and replica configuration for the index.

Configuration used to scale an index.

spec

object

required

Show child attributes

spec.pod

object

required

Show child attributes

spec.pod.replicas

integer

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.

Response

202

application/json

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

dimension

integer

required

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

Required range: 1 < x < 20000

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

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.

spec.pod.replicas

integer

default:

1

required

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

default:

1

required

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.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.pods

integer

default:

1

required

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

Required range: x > 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.

spec.pod.source_collection

string

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

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. Serverless indexes can be hosted only in AWS at this time.

Available options:

gcp,

aws,

azure

spec.serverless.region

string

required

The region where you would like your index to be created. Serverless indexes can be created only in the us-west-2 region of AWS at this time.

status

object

required

Show child attributes

status.ready

boolean

required

status.state

enum<string>

required

Available options:

Initializing,

InitializationFailed,

ScalingUp,

ScalingDown,

ScalingUpPodSize,

ScalingDownPodSize,

Upgrading,

Terminating,

Ready

host

string

The URL address where the index is hosted.