# pip install "pinecone[grpc]"
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

# To get the unique host for an index, 
# see https://docs.pinecone.io/guides/manage-data/target-an-index
index = pc.Index(host="INDEX_HOST")

index.upsert(
  vectors=[
    {
      "id": "vec1", 
      "values": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1], 
      "metadata": {"genre": "comedy", "year": 2020}
    },
    {
      "id": "vec2", 
      "values": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2],
      "metadata": {"genre": "documentary", "year": 2019}
    }
  ],
  namespace="example-namespace"
)

// npm install @pinecone-database/pinecone
import { Pinecone } from '@pinecone-database/pinecone'

const pc = new Pinecone({ apiKey: "YOUR_API_KEY" })

// To get the unique host for an index, 
// see https://docs.pinecone.io/guides/manage-data/target-an-index
const index = pc.index("INDEX_NAME", "INDEX_HOST")

const records = [
    {
      id: 'vec1',
      values: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
      metadata: { genre: "comedy", year: 2020 },
    },
    {
      id: 'vec2',
      values: [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2],
      metadata: { genre: "documentary", year: 2019 },
    }
]

await index.('example-namespace').upsert(records);

import com.google.protobuf.Struct;
import com.google.protobuf.Value;
import io.pinecone.clients.Index;
import io.pinecone.configs.PineconeConfig;
import io.pinecone.configs.PineconeConnection;

import java.util.Arrays;
import java.util.List;

public class UpsertExample {
    public static void main(String[] args) {
        PineconeConfig config = new PineconeConfig("YOUR_API_KEY");
        // To get the unique host for an index, 
        // see https://docs.pinecone.io/guides/manage-data/target-an-index
        config.setHost("INDEX_HOST");
        PineconeConnection connection = new PineconeConnection(config);
        Index index = new Index(connection, "INDEX_NAME");
        List<Float> values1 = Arrays.asList(0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f);
        List<Float> values2 = Arrays.asList(0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f);
        Struct metaData1 = Struct.newBuilder()
                .putFields("genre", Value.newBuilder().setStringValue("comedy").build())
                .putFields("year", Value.newBuilder().setNumberValue(2020).build())
                .build();
        Struct metaData2 = Struct.newBuilder()
                .putFields("genre", Value.newBuilder().setStringValue("documentary").build())
                .putFields("year", Value.newBuilder().setNumberValue(2019).build())
                .build();

        index.upsert("vec1", values1, null, null, metaData1, 'example-namespace');
        index.upsert("vec2", values2, null, null, metaData2, 'example-namespace');
    }
}

package main

import (
    "context"
    "fmt"
    "log"

    "github.com/pinecone-io/go-pinecone/v3/pinecone"
    "google.golang.org/protobuf/types/known/structpb"
)

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)
    }

    // To get the unique 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 for Host: %v", err)
	  }

    metadataMap1 := map[string]interface{}{
        "genre": "comedy",
        "year": 2020,
    }

    metadata1, err := structpb.NewStruct(metadataMap1)
    if err != nil {
        log.Fatalf("Failed to create metadata map: %v", err)
    }

    metadataMap2 := map[string]interface{}{
        "genre": "documentary",
        "year": 2019,
    }

    metadata2, err := structpb.NewStruct(metadataMap2)
    if err != nil {
        log.Fatalf("Failed to create metadata map: %v", err)
    }

    vectors := []*pinecone.Vector{
        {
            Id:     "vec1",
            Values: []float32{0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1},
            Metadata: metadata1,
        },
        {
            Id:     "vec2",
            Values: []float32{0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2},
            Metadata: metadata2,
        },
    }

    count, err := idxConnection.UpsertVectors(ctx, vectors)
    if err != nil {
        log.Fatalf("Failed to upsert vectors: %v", err)
    } else {
        fmt.Printf("Successfully upserted %d vector(s)!\n", count)
    }
}

using Pinecone;

var pinecone = new PineconeClient("YOUR_API_KEY");

// To get the unique host for an index, 
// see https://docs.pinecone.io/guides/manage-data/target-an-index
var index = pinecone.Index(host: "INDEX_HOST");

var upsertResponse = await index.UpsertAsync(new UpsertRequest {
    Vectors = new[]
    {
        new Vector
        {
            Id = "vec1",
            Values = new[] { 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f, 0.1f },
            Metadata = new Metadata {
                ["genre"] = new("comedy"),
                ["year"] = new(2020),
            },
        },
        new Vector
        {
            Id = "vec2",
            Values = new[] { 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f, 0.2f },
            Metadata = new Metadata {
                ["genre"] = new("documentary"),
                ["year"] = new(2019),
            },
        }
    },
    Namespace = "example-namespace",
});

# 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 "https://$INDEX_HOST/vectors/upsert" \
  -H "Api-Key: $PINECONE_API_KEY" \
  -H 'Content-Type: application/json' \
  -H "X-Pinecone-Api-Version: 2025-01" \
  -d '{
    "vectors": [
      {
        "id": "vec1",
        "values": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1],
        "metadata": {"genre": "comedy", "year": 2020}
      },
      {
        "id": "vec2",
        "values": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2],
        "metadata": {"genre": "documentary", "year": 2019}
      }
    ],
    "namespace": "example-namespace"
  }'

{"upsertedCount":2}