landing_page/qdrant-landing/content/documentation/headless/snippets/inference/openai-upsert/java.md

import static io.qdrant.client.PointIdFactory.id;
import static io.qdrant.client.ValueFactory.value;
import static io.qdrant.client.VectorsFactory.vectors;

import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Points.Document;
import io.qdrant.client.grpc.Points.PointStruct;
import java.util.List;
import java.util.Map;

QdrantClient client =
    new QdrantClient(
        QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
            .withApiKey("<your-api-key")
            .build());

client
    .upsertAsync(
        "{collection_name}",
        List.of(
            PointStruct.newBuilder()
                .setId(id(1))
                .setVectors(
                    vectors(
                        Document.newBuilder()
                            .setModel("openai/text-embedding-3-large")
                            .setText("Recipe for baking chocolate chip cookies")
                            .putAllOptions(
                                Map.of(
                                    "openai-api-key",
                                    value("<YOUR_OPENAI_API_KEY>"),
                                    "dimensions",
                                    value(512)))
                            .build()))
                .build()))
    .get();