# pip install --upgrade pinecone
import os
from pinecone import Pinecone
pc = Pinecone(api_key=os.environ["PINECONE_API_KEY"])
# To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
index = pc.index(host="INDEX_HOST")
response = index.fetch(ids=["id-1", "id-2"], namespace="example-namespace")
for vector_id, vector in response.vectors.items():
print(vector_id, vector.values)
// npm install @pinecone-database/pinecone
import { Pinecone } from '@pinecone-database/pinecone';
// Reads PINECONE_API_KEY from the environment
const pc = new Pinecone();
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
const index = pc.index({
host: 'INDEX_HOST',
namespace: 'example-namespace',
});
const response = await index.fetch({
ids: ['id-1', 'id-2'],
});
for (const [id, record] of Object.entries(response.records)) {
console.log(id, record.values);
}
package main
import (
"context"
"fmt"
"log"
"os"
"github.com/pinecone-io/go-pinecone/v7/pinecone"
)
func main() {
ctx := context.Background()
pc, err := pinecone.NewClient(pinecone.NewClientParams{
ApiKey: os.Getenv("PINECONE_API_KEY"),
})
if err != nil {
log.Fatalf("Failed to create Client: %v", err)
}
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
idxConnection, err := pc.Index(pinecone.NewIndexConnParams{
Host: "INDEX_HOST",
Namespace: "example-namespace",
})
if err != nil {
log.Fatalf("Failed to create IndexConnection: %v", err)
}
res, err := idxConnection.FetchVectors(ctx, []string{"id-1", "id-2"})
if err != nil {
log.Fatalf("Failed to fetch vectors: %v", err)
}
for id, vector := range res.Vectors {
fmt.Println(id, *vector.Values)
}
}
# To get the unique host for an index,
# see https://docs.pinecone.io/guides/manage-data/target-an-index
PINECONE_API_KEY="YOUR_API_KEY"
INDEX_HOST="INDEX_HOST"
curl -X GET "https://$INDEX_HOST/vectors/fetch?ids=id-1&ids=id-2&namespace=example-namespace" \
-H "Api-Key: $PINECONE_API_KEY" \
-H "X-Pinecone-Api-Version: 2026-07"
{
"namespace": "example-namespace",
"usage": {
"egressBytes": 1024,
"readUnits": 1
},
"vectors": {
"id-1": {
"id": "id-1",
"values": [
1,
1.5
]
},
"id-2": {
"id": "id-2",
"values": [
2,
1
]
}
}
}{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}Unauthorized{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}Vectors
Fetch records
Look up and return records by ID from a single namespace. The returned records include the vector data and/or metadata.
For on-demand indexes, since vector values are retrieved from object storage, fetch operations may have increased latency. If you only need metadata or IDs, consider using the query operation with includeValues set to false instead.
For guidance and examples, see Fetch data.
GET
/
vectors
/
fetch
# pip install --upgrade pinecone
import os
from pinecone import Pinecone
pc = Pinecone(api_key=os.environ["PINECONE_API_KEY"])
# To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
index = pc.index(host="INDEX_HOST")
response = index.fetch(ids=["id-1", "id-2"], namespace="example-namespace")
for vector_id, vector in response.vectors.items():
print(vector_id, vector.values)
// npm install @pinecone-database/pinecone
import { Pinecone } from '@pinecone-database/pinecone';
// Reads PINECONE_API_KEY from the environment
const pc = new Pinecone();
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
const index = pc.index({
host: 'INDEX_HOST',
namespace: 'example-namespace',
});
const response = await index.fetch({
ids: ['id-1', 'id-2'],
});
for (const [id, record] of Object.entries(response.records)) {
console.log(id, record.values);
}
package main
import (
"context"
"fmt"
"log"
"os"
"github.com/pinecone-io/go-pinecone/v7/pinecone"
)
func main() {
ctx := context.Background()
pc, err := pinecone.NewClient(pinecone.NewClientParams{
ApiKey: os.Getenv("PINECONE_API_KEY"),
})
if err != nil {
log.Fatalf("Failed to create Client: %v", err)
}
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
idxConnection, err := pc.Index(pinecone.NewIndexConnParams{
Host: "INDEX_HOST",
Namespace: "example-namespace",
})
if err != nil {
log.Fatalf("Failed to create IndexConnection: %v", err)
}
res, err := idxConnection.FetchVectors(ctx, []string{"id-1", "id-2"})
if err != nil {
log.Fatalf("Failed to fetch vectors: %v", err)
}
for id, vector := range res.Vectors {
fmt.Println(id, *vector.Values)
}
}
# To get the unique host for an index,
# see https://docs.pinecone.io/guides/manage-data/target-an-index
PINECONE_API_KEY="YOUR_API_KEY"
INDEX_HOST="INDEX_HOST"
curl -X GET "https://$INDEX_HOST/vectors/fetch?ids=id-1&ids=id-2&namespace=example-namespace" \
-H "Api-Key: $PINECONE_API_KEY" \
-H "X-Pinecone-Api-Version: 2026-07"
{
"namespace": "example-namespace",
"usage": {
"egressBytes": 1024,
"readUnits": 1
},
"vectors": {
"id-1": {
"id": "id-1",
"values": [
1,
1.5
]
},
"id-2": {
"id": "id-2",
"values": [
2,
1
]
}
}
}{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}Unauthorized{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}{
"code": 123,
"message": "<string>",
"details": [
{
"typeUrl": "<string>",
"value": "aSDinaTvuI8gbWludGxpZnk="
}
]
}# pip install --upgrade pinecone
import os
from pinecone import Pinecone
pc = Pinecone(api_key=os.environ["PINECONE_API_KEY"])
# To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
index = pc.index(host="INDEX_HOST")
response = index.fetch(ids=["id-1", "id-2"], namespace="example-namespace")
for vector_id, vector in response.vectors.items():
print(vector_id, vector.values)
// npm install @pinecone-database/pinecone
import { Pinecone } from '@pinecone-database/pinecone';
// Reads PINECONE_API_KEY from the environment
const pc = new Pinecone();
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
const index = pc.index({
host: 'INDEX_HOST',
namespace: 'example-namespace',
});
const response = await index.fetch({
ids: ['id-1', 'id-2'],
});
for (const [id, record] of Object.entries(response.records)) {
console.log(id, record.values);
}
package main
import (
"context"
"fmt"
"log"
"os"
"github.com/pinecone-io/go-pinecone/v7/pinecone"
)
func main() {
ctx := context.Background()
pc, err := pinecone.NewClient(pinecone.NewClientParams{
ApiKey: os.Getenv("PINECONE_API_KEY"),
})
if err != nil {
log.Fatalf("Failed to create Client: %v", err)
}
// To get the host for an index, see https://docs.pinecone.io/guides/manage-data/target-an-index
idxConnection, err := pc.Index(pinecone.NewIndexConnParams{
Host: "INDEX_HOST",
Namespace: "example-namespace",
})
if err != nil {
log.Fatalf("Failed to create IndexConnection: %v", err)
}
res, err := idxConnection.FetchVectors(ctx, []string{"id-1", "id-2"})
if err != nil {
log.Fatalf("Failed to fetch vectors: %v", err)
}
for id, vector := range res.Vectors {
fmt.Println(id, *vector.Values)
}
}
# To get the unique host for an index,
# see https://docs.pinecone.io/guides/manage-data/target-an-index
PINECONE_API_KEY="YOUR_API_KEY"
INDEX_HOST="INDEX_HOST"
curl -X GET "https://$INDEX_HOST/vectors/fetch?ids=id-1&ids=id-2&namespace=example-namespace" \
-H "Api-Key: $PINECONE_API_KEY" \
-H "X-Pinecone-Api-Version: 2026-07"
Authorizations
Headers
Required date-based version header
Query Parameters
The vector IDs to fetch.
Required array length:
1 - 1000 elementsRequired string length:
1 - 512Pattern:
^[\x01-\x7F]+$The namespace to fetch records from. If not provided, the default namespace is used.
Response
A successful response.
The response for the fetch operation.
vectors
The fetched vectors, in the form of a map between the fetched ids and the fetched vectors · object
Show child attributes
Show child attributes
The namespace that served the fetch: the request's namespace, or the alias's target namespace when the request named a namespace alias.
Example:
"example-namespace"
Show child attributes
Show child attributes
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