Simple

<dependency>
    <groupId>io.agentscope</groupId>
    <artifactId>agentscope-extensions-rag-simple</artifactId>
    <version>${agentscope.version}</version>
</dependency>

import io.agentscope.core.embedding.dashscope.DashScopeTextEmbedding;
import io.agentscope.core.rag.knowledge.SimpleKnowledge;
import io.agentscope.core.rag.store.InMemoryStore;
import io.agentscope.core.rag.model.RetrieveConfig;

// 1) Embedding 模型
EmbeddingModel embeddings = DashScopeTextEmbedding.builder()
    .apiKey(System.getenv("DASHSCOPE_API_KEY"))
    .modelName("text-embedding-v3")
    .dimensions(1024)
    .build();

// 2) 向量库（这里用进程内的实现）
VDBStoreBase store = InMemoryStore.builder().dimensions(1024).build();

// 3) 组装 Knowledge
SimpleKnowledge knowledge = SimpleKnowledge.builder()
    .embeddingModel(embeddings)
    .embeddingStore(store)
    .build();

// 4) 写入文档
List<Document> docs = new TikaReader().read(input).block();
knowledge.addDocuments(docs).block();

// 5) 检索
List<Document> hits = knowledge.retrieve(
    "什么是 AgentScope？",
    RetrieveConfig.builder().limit(5).scoreThreshold(0.5).build()
).block();

ReActAgent agent = ReActAgent.builder()
    .name("Assistant")
    .model(model)
    .knowledge(knowledge)
    .ragMode(RAGMode.AGENTIC)   // Agent 自行决定何时检索
    .build();