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Pinecone v0.4.3 published on Thursday, May 9, 2024 by pinecone-io
pinecone-io/pulumi-pinecone

pinecone.PineconeIndex

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Pinecone v0.4.3 published on Thursday, May 9, 2024 by pinecone-io
pinecone-io/pulumi-pinecone

    Create PineconeIndex Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new PineconeIndex(name: string, args: PineconeIndexArgs, opts?: CustomResourceOptions);
    @overload
def PineconeIndex(resource_name: str,
                  args: PineconeIndexArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def PineconeIndex(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  metric: Optional[IndexMetric] = None,
                  name: Optional[str] = None,
                  spec: Optional[PineconeSpecArgs] = None,
                  dimension: Optional[int] = None)
    func NewPineconeIndex(ctx *Context, name string, args PineconeIndexArgs, opts ...ResourceOption) (*PineconeIndex, error)
    public PineconeIndex(string name, PineconeIndexArgs args, CustomResourceOptions? opts = null)
    public PineconeIndex(String name, PineconeIndexArgs args)
public PineconeIndex(String name, PineconeIndexArgs args, CustomResourceOptions options)

    type: pinecone:PineconeIndex
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args PineconeIndexArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args PineconeIndexArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args PineconeIndexArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args PineconeIndexArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args PineconeIndexArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var pineconeIndexResource = new Pinecone.PineconeIndex("pineconeIndexResource", new()
{
    Metric = Pinecone.IndexMetric.Dotproduct,
    Name = "string",
    Spec = new Pinecone.Inputs.PineconeSpecArgs
    {
        Pod = new Pinecone.Inputs.PineconePodSpecArgs
        {
            Environment = "string",
            PodType = "string",
            Replicas = 0,
            MetaDataConfig = new Pinecone.Inputs.MetaDataConfigArgs
            {
                Indexed = new[]
                {
                    "string",
                },
            },
            Pods = 0,
            Shards = 0,
            SourceCollection = "string",
        },
        Serverless = new Pinecone.Inputs.PineconeServerlessSpecArgs
        {
            Cloud = Pinecone.ServerlessSpecCloud.Aws,
            Region = "string",
        },
    },
    Dimension = 0,
});

    example, err := pinecone.NewPineconeIndex(ctx, "pineconeIndexResource", &pinecone.PineconeIndexArgs{
	Metric: pinecone.IndexMetricDotproduct,
	Name:   pulumi.String("string"),
	Spec: &pinecone.PineconeSpecArgs{
		Pod: &pinecone.PineconePodSpecArgs{
			Environment: pulumi.String("string"),
			PodType:     pulumi.String("string"),
			Replicas:    pulumi.Int(0),
			MetaDataConfig: &pinecone.MetaDataConfigArgs{
				Indexed: pulumi.StringArray{
					pulumi.String("string"),
				},
			},
			Pods:             pulumi.Int(0),
			Shards:           pulumi.Int(0),
			SourceCollection: pulumi.String("string"),
		},
		Serverless: &pinecone.PineconeServerlessSpecArgs{
			Cloud:  pinecone.ServerlessSpecCloudAws,
			Region: pulumi.String("string"),
		},
	},
	Dimension: pulumi.Int(0),
})

    var pineconeIndexResource = new PineconeIndex("pineconeIndexResource", PineconeIndexArgs.builder()
    .metric("dotproduct")
    .name("string")
    .spec(PineconeSpecArgs.builder()
        .pod(PineconePodSpecArgs.builder()
            .environment("string")
            .podType("string")
            .replicas(0)
            .metaDataConfig(MetaDataConfigArgs.builder()
                .indexed("string")
                .build())
            .pods(0)
            .shards(0)
            .sourceCollection("string")
            .build())
        .serverless(PineconeServerlessSpecArgs.builder()
            .cloud("aws")
            .region("string")
            .build())
        .build())
    .dimension(0)
    .build());

    pinecone_index_resource = pinecone.PineconeIndex("pineconeIndexResource",
    metric=pinecone.IndexMetric.DOTPRODUCT,
    name="string",
    spec={
        "pod": {
            "environment": "string",
            "pod_type": "string",
            "replicas": 0,
            "meta_data_config": {
                "indexed": ["string"],
            },
            "pods": 0,
            "shards": 0,
            "source_collection": "string",
        },
        "serverless": {
            "cloud": pinecone.ServerlessSpecCloud.AWS,
            "region": "string",
        },
    },
    dimension=0)

    const pineconeIndexResource = new pinecone.PineconeIndex("pineconeIndexResource", {
    metric: pinecone.IndexMetric.Dotproduct,
    name: "string",
    spec: {
        pod: {
            environment: "string",
            podType: "string",
            replicas: 0,
            metaDataConfig: {
                indexed: ["string"],
            },
            pods: 0,
            shards: 0,
            sourceCollection: "string",
        },
        serverless: {
            cloud: pinecone.ServerlessSpecCloud.Aws,
            region: "string",
        },
    },
    dimension: 0,
});

    type: pinecone:PineconeIndex
properties:
    dimension: 0
    metric: dotproduct
    name: string
    spec:
        pod:
            environment: string
            metaDataConfig:
                indexed:
                    - string
            podType: string
            pods: 0
            replicas: 0
            shards: 0
            sourceCollection: string
        serverless:
            cloud: aws
            region: string

    PineconeIndex Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The PineconeIndex resource accepts the following input properties:

    Metric PineconeDatabase.Pinecone.IndexMetric
    The metric used to compute the distance between vectors.
    Name string
    The name of the Pinecone index.
    Spec PineconeDatabase.Pinecone.Inputs.PineconeSpec
    Describe how the index should be deployed.
    Dimension int
    The dimensions of the vectors in the index. Defaults to 1536.
    Metric IndexMetric
    The metric used to compute the distance between vectors.
    Name string
    The name of the Pinecone index.
    Spec PineconeSpecArgs
    Describe how the index should be deployed.
    Dimension int
    The dimensions of the vectors in the index. Defaults to 1536.
    metric IndexMetric
    The metric used to compute the distance between vectors.
    name String
    The name of the Pinecone index.
    spec PineconeSpec
    Describe how the index should be deployed.
    dimension Integer
    The dimensions of the vectors in the index. Defaults to 1536.
    metric IndexMetric
    The metric used to compute the distance between vectors.
    name string
    The name of the Pinecone index.
    spec PineconeSpec
    Describe how the index should be deployed.
    dimension number
    The dimensions of the vectors in the index. Defaults to 1536.
    metric IndexMetric
    The metric used to compute the distance between vectors.
    name str
    The name of the Pinecone index.
    spec PineconeSpecArgs
    Describe how the index should be deployed.
    dimension int
    The dimensions of the vectors in the index. Defaults to 1536.
    metric "dotproduct" | "cosine" | "euclidean"
    The metric used to compute the distance between vectors.
    name String
    The name of the Pinecone index.
    spec Property Map
    Describe how the index should be deployed.
    dimension Number
    The dimensions of the vectors in the index. Defaults to 1536.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the PineconeIndex resource produces the following output properties:

    Host string
    The URL address where the index is hosted.
    Id string
    The provider-assigned unique ID for this managed resource.
    Host string
    The URL address where the index is hosted.
    Id string
    The provider-assigned unique ID for this managed resource.
    host String
    The URL address where the index is hosted.
    id String
    The provider-assigned unique ID for this managed resource.
    host string
    The URL address where the index is hosted.
    id string
    The provider-assigned unique ID for this managed resource.
    host str
    The URL address where the index is hosted.
    id str
    The provider-assigned unique ID for this managed resource.
    host String
    The URL address where the index is hosted.
    id String
    The provider-assigned unique ID for this managed resource.

    Supporting Types

    IndexMetric, IndexMetricArgs

    Dotproduct
    dotproduct
    Cosine
    cosine
    Euclidean
    euclidean
    IndexMetricDotproduct
    dotproduct
    IndexMetricCosine
    cosine
    IndexMetricEuclidean
    euclidean
    Dotproduct
    dotproduct
    Cosine
    cosine
    Euclidean
    euclidean
    Dotproduct
    dotproduct
    Cosine
    cosine
    Euclidean
    euclidean
    DOTPRODUCT
    dotproduct
    COSINE
    cosine
    EUCLIDEAN
    euclidean
    "dotproduct"
    dotproduct
    "cosine"
    cosine
    "euclidean"
    euclidean

    MetaDataConfig, MetaDataConfigArgs

    Indexed List<string>
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.
    Indexed []string
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.
    indexed List<String>
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.
    indexed string[]
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.
    indexed Sequence[str]
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.
    indexed List<String>
    Indexed By default, all metadata is indexed; to change this behavior, use this property to specify an array of metadata fields which should be indexed.

    PineconePodSpec, PineconePodSpecArgs

    Environment string
    The environment where the index is hosted.
    PodType string
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    Replicas int
    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.
    MetaDataConfig PineconeDatabase.Pinecone.Inputs.MetaDataConfig
    Configuration for the behavior of Pinecone's internal metadata index.
    Pods int
    The number of pods to be used in the index. This should be equal to shards x replicas.
    Shards int
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    SourceCollection string
    The name of the collection to be used as the source for the index.
    Environment string
    The environment where the index is hosted.
    PodType string
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    Replicas int
    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.
    MetaDataConfig MetaDataConfig
    Configuration for the behavior of Pinecone's internal metadata index.
    Pods int
    The number of pods to be used in the index. This should be equal to shards x replicas.
    Shards int
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    SourceCollection string
    The name of the collection to be used as the source for the index.
    environment String
    The environment where the index is hosted.
    podType String
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    replicas Integer
    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.
    metaDataConfig MetaDataConfig
    Configuration for the behavior of Pinecone's internal metadata index.
    pods Integer
    The number of pods to be used in the index. This should be equal to shards x replicas.
    shards Integer
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    sourceCollection String
    The name of the collection to be used as the source for the index.
    environment string
    The environment where the index is hosted.
    podType string
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    replicas number
    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.
    metaDataConfig MetaDataConfig
    Configuration for the behavior of Pinecone's internal metadata index.
    pods number
    The number of pods to be used in the index. This should be equal to shards x replicas.
    shards number
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    sourceCollection string
    The name of the collection to be used as the source for the index.
    environment str
    The environment where the index is hosted.
    pod_type str
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    replicas int
    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.
    meta_data_config MetaDataConfig
    Configuration for the behavior of Pinecone's internal metadata index.
    pods int
    The number of pods to be used in the index. This should be equal to shards x replicas.
    shards int
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    source_collection str
    The name of the collection to be used as the source for the index.
    environment String
    The environment where the index is hosted.
    podType String
    The type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
    replicas Number
    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.
    metaDataConfig Property Map
    Configuration for the behavior of Pinecone's internal metadata index.
    pods Number
    The number of pods to be used in the index. This should be equal to shards x replicas.
    shards Number
    The number of shards. Shards split your data across multiple pods so you can fit more data into an index.
    sourceCollection String
    The name of the collection to be used as the source for the index.

    PineconeServerlessSpec, PineconeServerlessSpecArgs

    Cloud PineconeDatabase.Pinecone.ServerlessSpecCloud
    The public cloud where you would like your index hosted.
    Region string
    The region where you would like your index to be created. Different cloud providers have different regions available.
    Cloud ServerlessSpecCloud
    The public cloud where you would like your index hosted.
    Region string
    The region where you would like your index to be created. Different cloud providers have different regions available.
    cloud ServerlessSpecCloud
    The public cloud where you would like your index hosted.
    region String
    The region where you would like your index to be created. Different cloud providers have different regions available.
    cloud ServerlessSpecCloud
    The public cloud where you would like your index hosted.
    region string
    The region where you would like your index to be created. Different cloud providers have different regions available.
    cloud ServerlessSpecCloud
    The public cloud where you would like your index hosted.
    region str
    The region where you would like your index to be created. Different cloud providers have different regions available.
    cloud "aws" | "azure" | "gcp"
    The public cloud where you would like your index hosted.
    region String
    The region where you would like your index to be created. Different cloud providers have different regions available.

    PineconeSpec, PineconeSpecArgs

    Pod PineconeDatabase.Pinecone.Inputs.PineconePodSpec
    Configuration needed to deploy a pod index.
    Serverless PineconeDatabase.Pinecone.Inputs.PineconeServerlessSpec
    Configuration needed to deploy a serverless index.
    Pod PineconePodSpec
    Configuration needed to deploy a pod index.
    Serverless PineconeServerlessSpec
    Configuration needed to deploy a serverless index.
    pod PineconePodSpec
    Configuration needed to deploy a pod index.
    serverless PineconeServerlessSpec
    Configuration needed to deploy a serverless index.
    pod PineconePodSpec
    Configuration needed to deploy a pod index.
    serverless PineconeServerlessSpec
    Configuration needed to deploy a serverless index.
    pod PineconePodSpec
    Configuration needed to deploy a pod index.
    serverless PineconeServerlessSpec
    Configuration needed to deploy a serverless index.
    pod Property Map
    Configuration needed to deploy a pod index.
    serverless Property Map
    Configuration needed to deploy a serverless index.

    ServerlessSpecCloud, ServerlessSpecCloudArgs

    Aws
    aws
    Azure
    azure
    Gcp
    gcp
    ServerlessSpecCloudAws
    aws
    ServerlessSpecCloudAzure
    azure
    ServerlessSpecCloudGcp
    gcp
    Aws
    aws
    Azure
    azure
    Gcp
    gcp
    Aws
    aws
    Azure
    azure
    Gcp
    gcp
    AWS
    aws
    AZURE
    azure
    GCP
    gcp
    "aws"
    aws
    "azure"
    azure
    "gcp"
    gcp

    Package Details

    Repository
    pinecone pinecone-io/pulumi-pinecone
    License
    Apache-2.0
    pinecone logo
    Pinecone v0.4.3 published on Thursday, May 9, 2024 by pinecone-io
    pinecone-io/pulumi-pinecone