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MilvusEmbeddingStoreExample.java
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MilvusEmbeddingStoreExample.java
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import dev.langchain4j.data.embedding.Embedding;
import dev.langchain4j.data.segment.TextSegment;
import dev.langchain4j.model.embedding.AllMiniLmL6V2EmbeddingModel;
import dev.langchain4j.model.embedding.EmbeddingModel;
import dev.langchain4j.store.embedding.EmbeddingMatch;
import dev.langchain4j.store.embedding.EmbeddingStore;
import dev.langchain4j.store.embedding.milvus.MilvusEmbeddingStore;
import org.testcontainers.milvus.MilvusContainer;
import java.util.List;
public class MilvusEmbeddingStoreExample {
public static void main(String[] args) {
try (MilvusContainer milvus = new MilvusContainer("milvusdb/milvus:v2.3.1")) {
milvus.start();
EmbeddingStore<TextSegment> embeddingStore = MilvusEmbeddingStore.builder()
.uri(milvus.getEndpoint())
.collectionName("test_collection")
.dimension(384)
.build();
EmbeddingModel embeddingModel = new AllMiniLmL6V2EmbeddingModel();
TextSegment segment1 = TextSegment.from("I like football.");
Embedding embedding1 = embeddingModel.embed(segment1).content();
embeddingStore.add(embedding1, segment1);
TextSegment segment2 = TextSegment.from("The weather is good today.");
Embedding embedding2 = embeddingModel.embed(segment2).content();
embeddingStore.add(embedding2, segment2);
Embedding queryEmbedding = embeddingModel.embed("What is your favourite sport?").content();
List<EmbeddingMatch<TextSegment>> relevant = embeddingStore.findRelevant(queryEmbedding, 1);
EmbeddingMatch<TextSegment> embeddingMatch = relevant.get(0);
System.out.println(embeddingMatch.score()); // 0.8144287765026093
System.out.println(embeddingMatch.embedded().text()); // I like football.
}
}
}