gh-giuseppe-trisciuoglio-developer-kit/skills/langchain4j/qdrant/references/references.md

Qdrant for Java: References

This file contains key technical details and code patterns for integrating Qdrant with Java applications.

Qdrant Java Client API Reference

Core Setup

Maven:

<dependency>
    <groupId>io.qdrant</groupId>
    <artifactId>client</artifactId>
    <version>1.15.0</version>
</dependency>

Gradle:

implementation 'io.qdrant:client:1.15.0'

Client Initialization

// Basic client
QdrantClient client = new QdrantClient(
    QdrantGrpcClient.newBuilder("localhost").build());

// Advanced client with TLS and API key
ManagedChannel channel = Grpc.newChannelBuilder(
    "localhost:6334",
    TlsChannelCredentials.newBuilder()
        .trustManager(new File("ssl/ca.crt"))
        .build()).build();

QdrantClient client = new QdrantClient(
    QdrantGrpcClient.newBuilder(channel)
        .withApiKey("<apikey>")
        .build());

Collection Management

// Create collection
client.createCollectionAsync("my_collection",
    VectorParams.newBuilder()
        .setDistance(Distance.Cosine)
        .setSize(4)
        .build()).get();

// Create collection with configuration
client.createCollectionAsync("my_collection",
    VectorParams.newBuilder()
        .setDistance(Distance.Cosine)
        .setSize(384)
        .build())
    .get();

Point Operations

// Insert points
List<PointStruct> points = List.of(
    PointStruct.newBuilder()
        .setId(id(1))
        .setVectors(vectors(0.32f, 0.52f, 0.21f, 0.52f))
        .putAllPayload(Map.of("color", value("red")))
        .build()
);

UpdateResult result = client.upsertAsync("my_collection", points).get();

Search Operations

// Simple search
List<ScoredPoint> results = client.searchAsync(
    SearchPoints.newBuilder()
        .setCollectionName("my_collection")
        .addAllVector(List.of(0.6235f, 0.123f, 0.532f, 0.123f))
        .setLimit(5)
        .build()).get();

// Filtered search
List<ScoredPoint> filteredResults = client.searchAsync(
    SearchPoints.newBuilder()
        .setCollectionName("my_collection")
        .addAllVector(List.of(0.6235f, 0.123f, 0.532f, 0.123f))
        .setFilter(Filter.newBuilder()
            .addMust(range("rand_number",
                Range.newBuilder().setGte(3).build()))
            .build())
        .setLimit(5)
        .build()).get();

LangChain4j Integration Patterns

QdrantEmbeddingStore Setup

<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-qdrant</artifactId>
    <version>1.7.0</version>
</dependency>

Configuration

EmbeddingStore<TextSegment> embeddingStore = QdrantEmbeddingStore.builder()
    .collectionName("YOUR_COLLECTION_NAME")
    .host("YOUR_HOST_URL")
    .port(6334)
    .apiKey("YOUR_API_KEY")
    .build();

// Or with HTTPS
EmbeddingStore<TextSegment> embeddingStore = QdrantEmbeddingStore.builder()
    .collectionName("YOUR_COLLECTION_NAME")
    .host("YOUR_HOST_URL")
    .port(443)
    .useHttps(true)
    .apiKey("YOUR_API_KEY")
    .build();

Official Documentation Resources

• Qdrant Documentation: Main documentation portal
• Qdrant Java Client GitHub: Source code and issues
• Java Client Javadoc: Complete API documentation
• API & SDKs: All supported clients
• Quickstart Guide: Local setup guide
• LangChain4j Official Site: Framework documentation
• LangChain4j Examples: Comprehensive examples