For guidance and examples, see [Create an index](/guides/index-data-create-an-index). ```python Python theme={null} # pip install "pinecone[grpc]" # Serverless index from pinecone.grpc import PineconeGRPC as Pinecone from pinecone import ServerlessSpec pc = Pinecone(api_key="YOUR_API_KEY") pc.create_index( name="serverless-index", dimension=1536, metric="cosine", spec=ServerlessSpec( cloud="aws", region="us-east-1" ) ) # Pod-based index from pinecone.grpc import PineconeGRPC as Pinecone, PodSpec pc = Pinecone(api_key="YOUR_API_KEY") pc.create_index( name="pod-index", dimension=1536, metric="cosine", spec=PodSpec( environment="us-west1-gcp", pod_type="p1.x1", pods=1 ) ) ``` ```javascript JavaScript theme={null} // npm install @pinecone-database/pinecone // Serverles index import { Pinecone } from '@pinecone-database/pinecone' const pc = new Pinecone({ apiKey: 'YOUR_API_KEY' }); await pc.createIndex({ name: 'serverless-index', dimension: 1536, metric: 'cosine', spec: { serverless: { cloud: 'aws', region: 'us-east-1' } } }); // Pod-based index await pc.createIndex({ name: 'pod-index', dimension: 1536, metric: 'cosine', spec: { pod: { environment: 'us-west1-gcp', podType: 'p1.x1', pods: 1 } } }); ``` ```java Java theme={null} import io.pinecone.clients.Pinecone; // Serverless index public class CreateServerlessIndexExample { public static void main(String[] args) { Pinecone pc = new Pinecone.Builder("YOUR_API_KEY").build(); pc.createServerlessIndex("serverless-index", "cosine", 1536, "aws", "us-east-1"); } } // Pod-based index public class CreatePodIndexExample { public static void main(String[] args) { Pinecone pc = new Pinecone.Builder("YOUR_API_KEY").build(); pc.createPodsIndex("pod-index", 1536, "us-west1-gcp", "p1.x1", "cosine"); } } ``` ```shell curl theme={null} PINECONE_API_KEY="YOUR_API_KEY" # Serverless index curl -s "https://api.pinecone.io/indexes" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Api-Key: $PINECONE_API_KEY" \ -H "X-Pinecone-Api-Version: 2024-04" \ -d '{ "name": "serverless-index", "dimension": 1536, "metric": "cosine", "spec": { "serverless": { "cloud": "aws", "region": "us-east-1" } } }' # Pod-based index curl -s "https://api.pinecone.io/indexes" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Api-Key: $PINECONE_API_KEY" \ -H "X-Pinecone-Api-Version: 2024-04" \ -d '{ "name": "pod-index", "dimension": 1536, "metric": "cosine", "spec": { "pod": { "environment": "us-west1-gcp", "pod_type": "p1.x1", "pods": 1 } } }' ``` ```jsonc curl theme={null} # Serverless index { "name": "serverless-index", "metric": "cosine", "dimension": 1536, "status": { "ready": true, "state": "Ready" }, "host": "serverless-index-4zo0ijk.svc.dev-us-west2-aws.pinecone.io", "spec": { "serverless": { "region": "us-east-1", "cloud": "aws" } } } # Pod-based index { "name": "pod-index", "metric": "cosine", "dimension": 1536, "status": { "ready": true, "state": "Ready" }, "host": "pod-index-4zo0ijk.svc.us-west1-gcp.pinecone.io", "spec": { "pod": { "replicas": 1, "shards": 1, "pods": 1, "pod_type": "p1.x1", "environment": "us-west1-gcp" } } } ``` `POST /indexes` :::code-group ```bash title="cURL" curl --request POST \ --url https://api.pinecone.io/indexes \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' \ --data '{ "name": "example-index", "dimension": 1536, "metric": "cosine", "spec": {} }' ``` ```json title="201" { "name": "example-index", "dimension": 1536, "metric": "cosine", "host": "semantic-search-c01b5b5.svc.us-west1-gcp.pinecone.io", "spec": { "pod": { "environment": "us-east-1-aws", "replicas": 1, "shards": 1, "pod_type": "p1.x1", "pods": 1, "metadata_config": { "indexed": [ "genre", "title", "imdb_rating" ] } } }, "status": { "ready": true, "state": "ScalingUpPodSize" } } ``` ::: ## Authorizations - `Authorization` (header, string, required) — Bearer authentication header of the form `Bearer `. ## Body - `name` (body, 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` (body, integer, required) — The dimensions of the vectors to be inserted in the index. - `metric` (body, string) — The distance metric to be used for similarity search. You can use 'euclidean', 'cosine', or 'dotproduct'. - `spec` (body, object, required) — The spec object defines how the index should be deployed. For serverless indexes, you define only the [cloud and region](/guides/index-data-indexing-overview#cloud-regions) where the index should be hosted. For pod-based indexes, you define the [environment](/guides/using-pods-understanding-pod-based-indexes#pod-environments) where the index should b ## Response - `201` — The index has been successfully created. - `400` - `401` - `403` - `404` - `409` — Index of given name already exists. - `422` - `500` ## Related pages - [List indexes](./database-2026-07-control-plane-list-indexes.md) - [Create an index](./database-2026-07-control-plane-create-index.md) - [Create an index with integrated embedding](./database-2026-07-control-plane-create-for-model.md) - [Describe an index](./database-2026-07-control-plane-describe-index.md) - [Delete an index](./database-2026-07-control-plane-delete-index.md) - [Configure an index](./database-2026-07-control-plane-configure-index.md) - [Get index stats](./database-2026-07-data-plane-describeindexstats.md) - [List indexes](./database-2026-04-control-plane-list-indexes.md) - [Create an index](./database-2026-04-control-plane-create-index.md) - [Create an index with integrated embedding](./database-2026-04-control-plane-create-for-model.md) # Agent Instructions Cite this page’s canonical URL and keep its documentation version. 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