From 7cbfb9bc3c6c7eb99b63a8710e35ce665f8e6195 Mon Sep 17 00:00:00 2001 From: wangbing Date: Fri, 18 Apr 2025 16:15:06 +0800 Subject: [PATCH] =?UTF-8?q?=E4=B8=8A=E4=BC=A0=E5=A4=87=E4=BB=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../wbsite/ai/Easy_RAG_Augmentor_Example.java | 58 +++++++++++++++++++ src/main/java/xyz/wbsite/ai/Helper.java | 2 + 2 files changed, 60 insertions(+) create mode 100644 src/main/java/xyz/wbsite/ai/Easy_RAG_Augmentor_Example.java diff --git a/src/main/java/xyz/wbsite/ai/Easy_RAG_Augmentor_Example.java b/src/main/java/xyz/wbsite/ai/Easy_RAG_Augmentor_Example.java new file mode 100644 index 0000000..55560ff --- /dev/null +++ b/src/main/java/xyz/wbsite/ai/Easy_RAG_Augmentor_Example.java @@ -0,0 +1,58 @@ +package xyz.wbsite.ai; + +import cn.hutool.core.collection.CollUtil; +import dev.langchain4j.data.document.Document; +import dev.langchain4j.data.segment.TextSegment; +import dev.langchain4j.memory.chat.MessageWindowChatMemory; +import dev.langchain4j.model.input.PromptTemplate; +import dev.langchain4j.rag.DefaultRetrievalAugmentor; +import dev.langchain4j.rag.content.injector.DefaultContentInjector; +import dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever; +import dev.langchain4j.service.AiServices; +import dev.langchain4j.service.SystemMessage; +import dev.langchain4j.store.embedding.EmbeddingStoreIngestor; +import dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore; + +import java.util.List; + +/** + * Easy-RAG 自定义注入提示词 + */ +public class Easy_RAG_Augmentor_Example { + + public static void main(String[] args) { + // 加载文档 + List documents = CollUtil.newArrayList(Document.from("小明+小芳=小强")); + + // 创建一个内存存储器,用于存储文档和其嵌入 + InMemoryEmbeddingStore embeddingStore = new InMemoryEmbeddingStore<>(); + + // 使用easy-rag,可以最快捷的方式使用rag + EmbeddingStoreIngestor.ingest(documents, embeddingStore); + + + PromptTemplate promptTemplate = PromptTemplate.from("{{userMessage}} \n\n 使用以下信息回答:\n{{contents}}"); + + Assistant assistant = AiServices.builder(Assistant.class) + .chatLanguageModel(Helper.getChatModel()) + .chatMemory(MessageWindowChatMemory.withMaxMessages(10)) +// .contentRetriever(EmbeddingStoreContentRetriever.from(embeddingStore)) + .retrievalAugmentor(DefaultRetrievalAugmentor.builder() + .contentRetriever(EmbeddingStoreContentRetriever.from(embeddingStore)) + .contentInjector(DefaultContentInjector.builder().promptTemplate(promptTemplate).build()) + .build() + ) + .build(); + + String chat = assistant.chat("小明+小芳等于什么"); + System.out.println(chat); + } + + /** + * 助手 + */ + interface Assistant { + + String chat(String userMessage); + } +} \ No newline at end of file diff --git a/src/main/java/xyz/wbsite/ai/Helper.java b/src/main/java/xyz/wbsite/ai/Helper.java index 56a6773..ecdff8b 100644 --- a/src/main/java/xyz/wbsite/ai/Helper.java +++ b/src/main/java/xyz/wbsite/ai/Helper.java @@ -6,6 +6,7 @@ import dev.langchain4j.model.openai.OpenAiChatModel; import dev.langchain4j.model.openai.OpenAiEmbeddingModel; import dev.langchain4j.model.openai.OpenAiStreamingChatModel; +import java.time.Duration; import java.util.List; public class Helper { @@ -21,6 +22,7 @@ public class Helper { private static OpenAiChatModel openAiChatModel = OpenAiChatModel.builder() .baseUrl("http://192.168.88.106:11434/v1") .apiKey("1") + .timeout(Duration.ofSeconds(120)) .modelName("deepseek-r1:1.5b") .logRequests(true) .logResponses(true)