Initial commit

langchain4j-ai-pinecone/src/main/java/com/iwe3/langchain4j/PineConeApplication.java

@@ -0,0 +1,12 @@
+package com.iwe3.langchain4j;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class PineConeApplication {
+
+    public static void main(String[] args) {
+        SpringApplication.run(PineConeApplication.class,args);
+    }
+}

langchain4j-ai-pinecone/src/main/java/com/iwe3/langchain4j/config/EmbeddingStoreConfig.java

@@ -0,0 +1,32 @@
+package com.iwe3.langchain4j.config;
+
+import dev.langchain4j.data.segment.TextSegment;
+import dev.langchain4j.model.embedding.EmbeddingModel;
+import dev.langchain4j.store.embedding.EmbeddingStore;
+import dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore;
+import dev.langchain4j.store.embedding.pinecone.PineconeServerlessIndexConfig;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class EmbeddingStoreConfig {
+
+    @Autowired
+    private EmbeddingModel embeddingModel;
+
+    @Bean
+    public EmbeddingStore<TextSegment> embeddingStore() {
+        // 创建向量存储
+        return PineconeEmbeddingStore.builder()
+                .apiKey(System.getenv("PINECONE_API_KEY"))
+                .index("xiaoai-index") // 如果指定的索引不存在，将创建一个新的索引
+                .nameSpace("xiaoai-namespace") // 如果指定的名称空间不存在，将创建一个新的名称空间
+                .createIndex(PineconeServerlessIndexConfig.builder()
+                        .cloud("AWS") // 指定索引部署在 AWS 云服务上。
+                        .region("us-east-1") // 指定索引所在的 AWS 区域为 us-east-1。
+                        .dimension(embeddingModel.dimension()) // 指定索引的向量维度，该维度与 embeddingModel 生成的向量维度相同。
+                        .build())
+                .build();
+    }
+}

langchain4j-ai-pinecone/src/main/java/com/iwe3/langchain4j/config/LLMConfig.java

@@ -0,0 +1,23 @@
+package com.iwe3.langchain4j.config;
+
+import dev.langchain4j.model.chat.ChatModel;
+import dev.langchain4j.model.openai.OpenAiChatModel;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+@Configuration
+public class LLMConfig {
+
+    /**
+     * @Description: 普通对话接口 ChatModel
+     */
+    @Bean(name = "qwen")
+    public ChatModel chatModelQwen()
+    {
+        return OpenAiChatModel.builder()
+                .apiKey(System.getenv("DASH_SCOPE_API_KEY"))
+                .modelName("qwen-plus")
+                .baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
+                .build();
+    }
+}