List indexes
This operation returns a list of all indexes in a project.
from pinecone.grpc import PineconeGRPC as Pinecone
pc = Pinecone(api_key="YOUR_API_KEY")
index_list = pc.list_indexes()
print(index_list)import { Pinecone } from '@pinecone-database/pinecone'
const pc = new Pinecone({ apiKey: 'YOUR_API_KEY' })
const indexList = await pc.listIndexes();
console.log(indexList);import io.pinecone.clients.Pinecone;
import org.openapitools.db_control.client.model.*;
public class ListIndexesExample {
public static void main(String[] args) {
Pinecone pc = new Pinecone.Builder("YOUR_API_KEY").build();
IndexList indexList = pc.listIndexes();
System.out.println(indexList);
}
}package main
import (
"context"
"encoding/json"
"fmt"
"log"
"github.com/pinecone-io/go-pinecone/v3/pinecone"
)
func prettifyStruct(obj interface{}) string {
bytes, _ := json.MarshalIndent(obj, "", " ")
return string(bytes)
}
func main() {
ctx := context.Background()
pc, err := pinecone.NewClient(pinecone.NewClientParams{
ApiKey: "YOUR_API_KEY",
})
if err != nil {
log.Fatalf("Failed to create Client: %v", err)
}
idxs, err := pc.ListIndexes(ctx)
if err != nil {
log.Fatalf("Failed to list indexes: %v", err)
} else {
for _, index := range idxs {
fmt.Printf("index: %v\n", prettifyStruct(index))
}
}
}using Pinecone;
var pinecone = new PineconeClient("YOUR_API_KEY");
var indexList = await pinecone.ListIndexesAsync();
Console.WriteLine(indexList);PINECONE_API_KEY="YOUR_API_KEY"
curl -i -X GET "https://api.pinecone.io/indexes" \
-H "Api-Key: $PINECONE_API_KEY" \
-H "X-Pinecone-Api-Version: 2024-10"[{
"name": "docs-example-sparse",
"metric": "dotproduct",
"host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"vector_type": "sparse",
"dimension": null,
"deletion_protection": "disabled",
"tags": {
"environment": "development"
}
}, {
"name": "docs-example-dense",
"metric": "cosine",
"host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"vector_type": "dense",
"dimension": 1536,
"deletion_protection": "disabled",
"tags": {
"environment": "development"
}
}]{
indexes: [
{
name: 'docs-example-sparse',
dimension: undefined,
metric: 'dotproduct',
host: 'docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io',
deletionProtection: 'disabled',
tags: { environment: 'development', example: 'tag' },
embed: undefined,
spec: { pod: undefined, serverless: { cloud: 'aws', region: 'us-east-1' } },
status: { ready: true, state: 'Ready' },
vectorType: 'sparse'
},
{
name: 'docs-example-dense',
dimension: 1536,
metric: 'cosine',
host: 'docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io',
deletionProtection: 'disabled',
tags: { environment: 'development', example: 'tag' },
embed: undefined,
spec: { pod: undefined, serverless: { cloud: 'aws', region: 'us-east-1' } },
status: { ready: true, state: 'Ready' },
vectorType: 'dense'
}
]
}class IndexList {
indexes: [class IndexModel {
name: docs-example-sparse
dimension: null
metric: dotproduct
host: docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io
deletionProtection: disabled
tags: {environment=development}
embed: null
spec: class IndexModelSpec {
pod: null
serverless: class ServerlessSpec {
cloud: aws
region: us-east-1
additionalProperties: null
}
additionalProperties: null
}
status: class IndexModelStatus {
ready: true
state: Ready
additionalProperties: null
}
vectorType: sparse
additionalProperties: null
}, class IndexModel {
name: docs-example-dense
dimension: 1536
metric: cosine
host: docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io
deletionProtection: disabled
tags: {environment=development}
embed: null
spec: class IndexModelSpec {
pod: null
serverless: class ServerlessSpec {
cloud: aws
region: us-east-1
additionalProperties: null
}
additionalProperties: null
}
status: class IndexModelStatus {
ready: true
state: Ready
additionalProperties: null
}
vectorType: dense
additionalProperties: null
}]
additionalProperties: null
}index: {
"name": "docs-example-sparse",
"host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
"metric": "dotproduct",
"vector_type": "sparse",
"deletion_protection": "disabled",
"dimension": null,
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"tags": {
"environment": "development"
}
}
index: {
"name": "docs-example-dense",
"host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
"metric": "cosine",
"vector_type": "dense",
"deletion_protection": "disabled",
"dimension": 1536,
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"tags": {
"environment": "development"
}
}{
"indexes": [
{
"name": "docs-example-sparse",
"metric": "dotproduct",
"host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
"deletion_protection": "disabled",
"tags": {
"environment": "development"
},
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"vector_type": "sparse"
},
{
"name": "docs-example-dense",
"dimension": 1536,
"metric": "cosine",
"host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
"deletion_protection": "disabled",
"tags": {
"environment": "development"
},
"spec": {
"serverless": {
"cloud": "aws",
"region": "us-east-1"
}
},
"status": {
"ready": true,
"state": "Ready"
},
"vector_type": "dense"
}
]
}{
"indexes": [
{
"name": "docs-example-sparse",
"vector_type": "sparse",
"metric": "dotproduct",
"dimension": null,
"status": {
"ready": true,
"state": "Ready"
},
"host": "docs-example-sparse-govk0nt.svc.aped-4627-b74a.pinecone.io",
"spec": {
"serverless": {
"region": "us-east-1",
"cloud": "aws"
}
},
"deletion_protection": "disabled",
"tags": {
"environment": "development"
}
},
{
"name": "docs-example-dense",
"vector_type": "dense",
"metric": "cosine",
"dimension": 1536,
"status": {
"ready": true,
"state": "Ready"
},
"host": "docs-example-dense-govk0nt.svc.aped-4627-b74a.pinecone.io",
"spec": {
"serverless": {
"region": "us-east-1",
"cloud": "aws"
}
},
"deletion_protection": "disabled",
"tags": {
"environment": "development"
}
}
]
}GET /indexes
Authorizations
Section titled “Authorizations”Api-KeystringrequiredAn API Key is required to call Pinecone APIs. Get yours from the console.
Response
Section titled “Response”200 — This operation returns a list of all the indexes that you have previously created, and which are associated with the given project
The list of indexes that exist in the project.
indexes?object[]Show child attributes
namestringrequiredThe 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
dimensionintegerrequiredThe dimensions of the vectors to be inserted in the index.
Required range: 1 <= x <= 20000. Example: 1536
metricenum<string>requiredThe distance metric to be used for similarity search. You can use 'euclidean', 'cosine', or 'dotproduct'.
Available options: cosine, euclidean, dotproduct
hoststringrequiredThe URL address where the index is hosted.
Example: semantic-search-c01b5b5.svc.us-west1-gcp.pinecone.io
deletion_protection?enum<string>Available options: disabled, enabled
Whether deletion protection is enabled/disabled for the index.
tags?objectCustom user tags added to an index. Keys must be 80 characters or less. Values must be 120 characters or less. Keys must be alphanumeric, '', or '-'. Values must be alphanumeric, ';', '@', '', '-', '.', '+', or ' '. To unset a key, set the value to be an empty string.
specobjectrequiredShow child attributes
pod?objectConfiguration needed to deploy a pod-based index.
Show child attributes
environmentstringrequiredThe environment where the index is hosted.
Example: us-east1-gcp
replicas?integerThe 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: 1 <= x
shards?integerThe number of shards. Shards split your data across multiple pods so you can fit more data into an index.
Required range: 1 <= x
pod_typestringrequiredThe type of pod to use. One of s1, p1, or p2 appended with . and one of x1, x2, x4, or x8.
pods?integerThe number of pods to be used in the index. This should be equal to shards x replicas.'
Required range: 1 <= x. Example: 1
metadata_config?objectConfiguration 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.
source_collection?stringThe name of the collection to be used as the source for the index.
Example: movie-embeddings
serverless?objectConfiguration needed to deploy a serverless index.
Show child attributes
cloudenum<string>requiredThe public cloud where you would like your index hosted.
Available options: gcp, aws, azure. Example: aws
regionstringrequiredThe region where you would like your index to be created.
Example: us-east-1
statusobjectrequiredShow child attributes
readybooleanrequiredstateenum<string>requiredAvailable options: Initializing, InitializationFailed, ScalingUp, ScalingDown, ScalingUpPodSize, ScalingDownPodSize, Terminating, Ready