将向量库从es切换到mariadb

This commit is contained in:
chenxudong 2025-04-29 13:59:38 +08:00
parent 480f5a1456
commit ffc78462c8
4 changed files with 24 additions and 36 deletions

View File

@ -41,11 +41,11 @@
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-elasticsearch-store-spring-boot-starter</artifactId>
<artifactId>spring-ai-starter-model-ollama</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
<artifactId>spring-ai-starter-vector-store-mariadb</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
@ -71,6 +71,7 @@
<dependency>
<groupId>org.mariadb.jdbc</groupId>
<artifactId>mariadb-java-client</artifactId>
<version>3.5.1</version>
</dependency>
<dependency>
<groupId>com.electromagnetic.data</groupId>

View File

@ -1,24 +1,13 @@
package com.electromagnetic.industry.software.manage.config;
import jakarta.annotation.Resource;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.vectorstore.VectorStore;
import org.springframework.context.annotation.Bean;
import org.springframework.stereotype.Component;
@Component
public class AiAdvisor {
@Resource
private VectorStore vectorStore;
@Bean
public QuestionAnswerAdvisor questionAnswerAdvisor() {
return new QuestionAnswerAdvisor(vectorStore);
}
@Bean
public MessageChatMemoryAdvisor messageChatMemoryAdvisor() {
return new MessageChatMemoryAdvisor(new InMemoryChatMemory());

View File

@ -24,7 +24,6 @@ import jakarta.annotation.Resource;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.QuestionAnswerAdvisor;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
@ -56,29 +55,24 @@ public class ChatService {
@Resource
private MessageChatMemoryAdvisor messageChatMemoryAdvisor;
@Resource
private QuestionAnswerAdvisor questionAnswerAdvisor;
@Resource
private AiFileUploadRecordMapper aiFileUploadRecordMapper;
@Resource
private AiQuestionRecordMapper aiQuestionRecordMapper;
@Resource
private ElePropertyConfig elePropertyConfig;
public ElectromagneticResult<?> deleteDocument(List<String> ids) {
List<String> vectorIds = aiFileUploadRecordMapper.selectList(Wrappers.lambdaQuery(AiFileUploadRecord.class)
.in(AiFileUploadRecord::getId, ids))
.stream()
.map(AiFileUploadRecord::getVectorId)
.toList();
Optional<Boolean> delete = vectorStore.delete(vectorIds);
if (null != delete && delete.isPresent() && delete.get()) {
aiFileUploadRecordMapper.update(Wrappers.lambdaUpdate(AiFileUploadRecord.class)
.in(AiFileUploadRecord::getId, ids)
.set(AiFileUploadRecord::getEffectFlag, EffectFlagEnum.NOT_EFFECTIVE.code));
return ElectromagneticResultUtil.success(true);
}
return ElectromagneticResultUtil.fail("-1", "删除失败。");
}
// public ElectromagneticResult<?> deleteDocument(List<String> ids) {
// List<String> vectorIds = aiFileUploadRecordMapper.selectList(Wrappers.lambdaQuery(AiFileUploadRecord.class)
// .in(AiFileUploadRecord::getId, ids))
// .stream()
// .map(AiFileUploadRecord::getVectorId)
// .toList();
// vectorStore.delete(vectorIds);
// aiFileUploadRecordMapper.update(Wrappers.lambdaUpdate(AiFileUploadRecord.class)
// .in(AiFileUploadRecord::getId, ids)
// .set(AiFileUploadRecord::getEffectFlag, EffectFlagEnum.NOT_EFFECTIVE.code));
// return ElectromagneticResultUtil.success(true);
// }
@Transactional(rollbackFor = Exception.class)
public ElectromagneticResult<?> addFromUpload(MultipartFile file) throws Exception {
@ -172,15 +166,17 @@ public class ChatService {
UserThreadLocal.set(userLoginInfo);
aiQuestionRecordMapper.insert(record);
UserThreadLocal.remove();
List<Document> documents = vectorStore.similaritySearch(queryDTO.getMsg());
String augmentedPrompt = "基于以下信息回答:" + documents + "\n\n" + queryDTO.getMsg();
return ChatClient.builder(model)
.defaultSystem("必须用中文回答")
.defaultAdvisors(messageChatMemoryAdvisor, questionAnswerAdvisor)
.defaultAdvisors(messageChatMemoryAdvisor)
.defaultOptions(OllamaOptions
.builder()
.temperature(0.3)
.build())
.build()
.prompt(queryDTO.getMsg())
.prompt(augmentedPrompt)
.stream()
.content();
}
@ -192,15 +188,17 @@ public class ChatService {
UserThreadLocal.set(userLoginInfo);
aiQuestionRecordMapper.insert(record);
UserThreadLocal.remove();
List<Document> documents = vectorStore.similaritySearch(queryDTO.getMsg());
String augmentedPrompt = "基于以下信息回答:" + documents + "\n\n" + queryDTO.getMsg();
return ChatClient.builder(model)
.defaultSystem("必须用中文回答")
.defaultAdvisors(messageChatMemoryAdvisor, questionAnswerAdvisor)
.defaultAdvisors(messageChatMemoryAdvisor)
.defaultOptions(OllamaOptions
.builder()
.temperature(0.3)
.build())
.build()
.prompt(new Prompt(new UserMessage(queryDTO.getMsg())))
.prompt(new Prompt(new UserMessage(augmentedPrompt)))
.stream()
.chatResponse();
}

View File

@ -20,7 +20,7 @@
<maven.compiler.target>17</maven.compiler.target>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<spring.boot.version>3.3.8</spring.boot.version>
<spring.ai.version>1.0.0-M5</spring.ai.version>
<spring.ai.version>1.0.0-M7</spring.ai.version>
</properties>
<dependencyManagement>