【新增】AI 知识库: AiVectorFactory 负责管理不同 EmbeddingModel 对应的 VectorStore

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/dal/dataobject/knowledge/AiKnowledgeDO.java

@@ -45,7 +45,7 @@ public class AiKnowledgeDO extends BaseDO {
     @TableField(typeHandler = JacksonTypeHandler.class)
     private List<Long> visibilityPermissions;
     /**
-     * 嵌入模型编号，高质量模式时维护
+     * 嵌入模型编号
      */
     private Long modelId;
     /**

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/dal/dataobject/knowledge/AiKnowledgeSegmentDO.java

@@ -24,10 +24,14 @@ public class AiKnowledgeSegmentDO extends BaseDO {
      * 向量库的编号
      */
     private String vectorId;
-    // TODO @新：knowledgeId 加个，会方便点
+    /**
+     * 知识库编号
+     * 关联 {@link AiKnowledgeDO#getId()}
+     */
+    private Long knowledgeId;
     /**
      * 文档编号
-     *
+     * <p>
      * 关联 {@link AiKnowledgeDocumentDO#getId()}
      */
     private Long documentId;

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/AiKnowledgeDocumentServiceImpl.java

@@ -6,24 +6,27 @@ import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
 import cn.iocoder.yudao.framework.common.util.collection.CollectionUtils;
 import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
 import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.AiKnowledgeDocumentCreateReqVO;
+import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
 import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
+import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
 import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeDocumentMapper;
 import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
 import cn.iocoder.yudao.module.ai.enums.knowledge.AiKnowledgeDocumentStatusEnum;
+import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
+import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
 import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.ai.document.Document;
 import org.springframework.ai.reader.tika.TikaDocumentReader;
 import org.springframework.ai.tokenizer.TokenCountEstimator;
 import org.springframework.ai.transformer.splitter.TokenTextSplitter;
-import org.springframework.ai.vectorstore.RedisVectorStore;
+import org.springframework.ai.vectorstore.VectorStore;
 import org.springframework.core.io.ByteArrayResource;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
 import java.util.List;
-import java.util.Objects;
 
 /**
  * AI 知识库-文档 Service 实现类
@@ -42,9 +45,14 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
     @Resource
     private TokenTextSplitter tokenTextSplitter;
     @Resource
-    private TokenCountEstimator TOKEN_COUNT_ESTIMATOR;
+    private TokenCountEstimator tokenCountEstimator;
+
+    @Resource
+    private AiApiKeyService apiKeyService;
+    @Resource
+    private AiKnowledgeService knowledgeService;
     @Resource
-    private RedisVectorStore vectorStore;
+    private AiChatModelService chatModelService;
 
 
     // TODO 芋艿：需要 review 下，代码格式；
@@ -53,18 +61,18 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
     public Long createKnowledgeDocument(AiKnowledgeDocumentCreateReqVO createReqVO) {
         // 1.1 下载文档
         String url = createReqVO.getUrl();
-        TikaDocumentReader loader = new TikaDocumentReader(downloadFile(url));
         // 1.2 加载文档
+        TikaDocumentReader loader = new TikaDocumentReader(downloadFile(url));
         List<Document> documents = loader.get();
         Document document = CollUtil.getFirst(documents);
-        // TODO @xin：是不是不存在，就抛出异常呀；厚泽 return 呀；
-        Integer tokens = Objects.nonNull(document) ? TOKEN_COUNT_ESTIMATOR.estimate(document.getContent()) : 0;
-        Integer wordCount = Objects.nonNull(document) ? document.getContent().length() : 0;
+        String content = document.getContent();
+        Integer tokens = tokenCountEstimator.estimate(content);
+        Integer wordCount = content.length();
 
+        // 1.3 文档记录入库
         AiKnowledgeDocumentDO documentDO = BeanUtils.toBean(createReqVO, AiKnowledgeDocumentDO.class)
                 .setTokens(tokens).setWordCount(wordCount)
                 .setStatus(CommonStatusEnum.ENABLE.getStatus()).setSliceStatus(AiKnowledgeDocumentStatusEnum.SUCCESS.getStatus());
-        // 1.2 文档记录入库
         documentMapper.insert(documentDO);
         Long documentId = documentDO.getId();
         if (CollUtil.isEmpty(documents)) {
@@ -75,11 +83,16 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
         List<Document> segments = tokenTextSplitter.apply(documents);
         // 2.2 分段内容入库
         List<AiKnowledgeSegmentDO> segmentDOList = CollectionUtils.convertList(segments,
-                segment -> new AiKnowledgeSegmentDO().setContent(segment.getContent()).setDocumentId(documentId)
-                        .setTokens(TOKEN_COUNT_ESTIMATOR.estimate(segment.getContent())).setWordCount(segment.getContent().length())
+                segment -> new AiKnowledgeSegmentDO().setContent(segment.getContent()).setDocumentId(documentId).setKnowledgeId(createReqVO.getKnowledgeId())
+                        .setTokens(tokenCountEstimator.estimate(segment.getContent())).setWordCount(segment.getContent().length())
                         .setStatus(CommonStatusEnum.ENABLE.getStatus()));
         segmentMapper.insertBatch(segmentDOList);
-        // 3 向量化并存储
+
+        AiKnowledgeDO knowledge = knowledgeService.validateKnowledgeExists(createReqVO.getKnowledgeId());
+        AiChatModelDO model = chatModelService.validateChatModel(knowledge.getModelId());
+        // 3.1 获取向量存储实例
+        VectorStore vectorStore = apiKeyService.getOrCreateVectorStore(model.getKeyId());
+        // 3.2 向量化并存储
         vectorStore.add(segments);
         return documentId;
     }

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/AiKnowledgeService.java

@@ -1,6 +1,8 @@
 package cn.iocoder.yudao.module.ai.service.knowledge;
+
 import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.AiKnowledgeCreateMyReqVO;
 import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.AiKnowledgeUpdateMyReqVO;
+import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
 
 /**
  * AI 知识库-基础信息 Service 接口
@@ -13,7 +15,7 @@ public interface AiKnowledgeService {
      * 创建【我的】知识库
      *
      * @param createReqVO 创建信息
-     * @param userId 用户编号
+     * @param userId      用户编号
      * @return 编号
      */
     Long createKnowledgeMy(AiKnowledgeCreateMyReqVO createReqVO, Long userId);
@@ -23,8 +25,16 @@ public interface AiKnowledgeService {
      * 创建【我的】知识库
      *
      * @param updateReqVO 更新信息
-     * @param userId 用户编号
+     * @param userId      用户编号
      */
     void updateKnowledgeMy(AiKnowledgeUpdateMyReqVO updateReqVO, Long userId);
 
+
+    /**
+     * 校验知识库是否存在
+     *
+     * @param id 记录编号
+     */
+    AiKnowledgeDO validateKnowledgeExists(Long id);
+
 }

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/knowledge/AiKnowledgeServiceImpl.java

@@ -29,7 +29,7 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
     private AiChatModelService chatModalService;
 
     @Resource
-    private AiKnowledgeMapper knowledgeBaseMapper;
+    private AiKnowledgeMapper knowledgeMapper;
 
     @Override
     public Long createKnowledgeMy(AiKnowledgeCreateMyReqVO createReqVO, Long userId) {
@@ -39,7 +39,7 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
         // 2. 插入知识库
         AiKnowledgeDO knowledgeBase = BeanUtils.toBean(createReqVO, AiKnowledgeDO.class)
                 .setModel(model.getModel()).setUserId(userId).setStatus(CommonStatusEnum.ENABLE.getStatus());
-        knowledgeBaseMapper.insert(knowledgeBase);
+        knowledgeMapper.insert(knowledgeBase);
         return knowledgeBase.getId();
     }
 
@@ -56,11 +56,12 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
         // 2. 更新知识库
         AiKnowledgeDO updateDO = BeanUtils.toBean(updateReqVO, AiKnowledgeDO.class);
         updateDO.setModel(model.getModel());
-        knowledgeBaseMapper.updateById(updateDO);
+        knowledgeMapper.updateById(updateDO);
     }
 
+    @Override
     public AiKnowledgeDO validateKnowledgeExists(Long id) {
-        AiKnowledgeDO knowledgeBase = knowledgeBaseMapper.selectById(id);
+        AiKnowledgeDO knowledgeBase = knowledgeMapper.selectById(id);
         if (knowledgeBase == null) {
             throw exception(KNOWLEDGE_NOT_EXISTS);
         }

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/model/AiApiKeyService.java

@@ -9,7 +9,9 @@ import cn.iocoder.yudao.module.ai.controller.admin.model.vo.apikey.AiApiKeySaveR
 import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiApiKeyDO;
 import jakarta.validation.Valid;
 import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.image.ImageModel;
+import org.springframework.ai.vectorstore.VectorStore;
 
 import java.util.List;
 
@@ -83,6 +85,14 @@ public interface AiApiKeyService {
      */
     ChatModel getChatModel(Long id);
 
+    /**
+     * 获得 EmbeddingModel 对象
+     *
+     * @param id 编号
+     * @return EmbeddingModel 对象
+     */
+    EmbeddingModel getEmbeddingModel(Long id);
+
     /**
      * 获得 ImageModel 对象
      *
@@ -111,4 +121,12 @@ public interface AiApiKeyService {
      */
     SunoApi getSunoApi();
 
+    /**
+     * 获得 vector 对象
+     *
+     * @param id 编号
+     * @return VectorStore 对象
+     */
+    VectorStore getOrCreateVectorStore(Long id);
+
 }

yudao-module-ai/yudao-module-ai-biz/src/main/java/cn/iocoder/yudao/module/ai/service/model/AiApiKeyServiceImpl.java

@@ -2,6 +2,7 @@ package cn.iocoder.yudao.module.ai.service.model;
 
 import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
 import cn.iocoder.yudao.framework.ai.core.factory.AiModelFactory;
+import cn.iocoder.yudao.framework.ai.core.factory.AiVectorFactory;
 import cn.iocoder.yudao.framework.ai.core.model.midjourney.api.MidjourneyApi;
 import cn.iocoder.yudao.framework.ai.core.model.suno.api.SunoApi;
 import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
@@ -13,7 +14,9 @@ import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiApiKeyDO;
 import cn.iocoder.yudao.module.ai.dal.mysql.model.AiApiKeyMapper;
 import jakarta.annotation.Resource;
 import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.image.ImageModel;
+import org.springframework.ai.vectorstore.VectorStore;
 import org.springframework.stereotype.Service;
 import org.springframework.validation.annotation.Validated;
 
@@ -36,6 +39,8 @@ public class AiApiKeyServiceImpl implements AiApiKeyService {
 
     @Resource
     private AiModelFactory modelFactory;
+    @Resource
+    private AiVectorFactory vectorFactory;
 
     @Override
     public Long createApiKey(AiApiKeySaveReqVO createReqVO) {
@@ -104,6 +109,13 @@ public class AiApiKeyServiceImpl implements AiApiKeyService {
         return modelFactory.getOrCreateChatModel(platform, apiKey.getApiKey(), apiKey.getUrl());
     }
 
+    @Override
+    public EmbeddingModel getEmbeddingModel(Long id) {
+        AiApiKeyDO apiKey = validateApiKey(id);
+        AiPlatformEnum platform = AiPlatformEnum.validatePlatform(apiKey.getPlatform());
+        return modelFactory.getOrCreateEmbeddingModel(platform, apiKey.getApiKey(), apiKey.getUrl());
+    }
+
     @Override
     public ImageModel getImageModel(AiPlatformEnum platform) {
         AiApiKeyDO apiKey = apiKeyMapper.selectFirstByPlatformAndStatus(platform.getPlatform(), CommonStatusEnum.ENABLE.getStatus());
@@ -132,4 +144,11 @@ public class AiApiKeyServiceImpl implements AiApiKeyService {
         }
         return modelFactory.getOrCreateSunoApi(apiKey.getApiKey(), apiKey.getUrl());
     }
+
+    @Override
+    public VectorStore getOrCreateVectorStore(Long id) {
+        AiApiKeyDO apiKey = validateApiKey(id);
+        AiPlatformEnum platform = AiPlatformEnum.validatePlatform(apiKey.getPlatform());
+        return vectorFactory.getOrCreateVectorStore(getEmbeddingModel(id), platform, apiKey.getApiKey(), apiKey.getUrl());
+    }
 }

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/config/YudaoAiAutoConfiguration.java

@@ -2,6 +2,8 @@ package cn.iocoder.yudao.framework.ai.config;
 
 import cn.iocoder.yudao.framework.ai.core.factory.AiModelFactory;
 import cn.iocoder.yudao.framework.ai.core.factory.AiModelFactoryImpl;
+import cn.iocoder.yudao.framework.ai.core.factory.AiVectorFactory;
+import cn.iocoder.yudao.framework.ai.core.factory.AiVectorFactoryImpl;
 import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatModel;
 import cn.iocoder.yudao.framework.ai.core.model.deepseek.DeepSeekChatOptions;
 import cn.iocoder.yudao.framework.ai.core.model.midjourney.api.MidjourneyApi;
@@ -10,22 +12,15 @@ import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatModel;
 import cn.iocoder.yudao.framework.ai.core.model.xinghuo.XingHuoChatOptions;
 import com.alibaba.cloud.ai.tongyi.TongYiAutoConfiguration;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.ai.autoconfigure.vectorstore.redis.RedisVectorStoreProperties;
-import org.springframework.ai.document.MetadataMode;
-import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.tokenizer.JTokkitTokenCountEstimator;
 import org.springframework.ai.tokenizer.TokenCountEstimator;
 import org.springframework.ai.transformer.splitter.TokenTextSplitter;
-import org.springframework.ai.transformers.TransformersEmbeddingModel;
-import org.springframework.ai.vectorstore.RedisVectorStore;
 import org.springframework.boot.autoconfigure.AutoConfiguration;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
-import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
 import org.springframework.boot.context.properties.EnableConfigurationProperties;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Import;
 import org.springframework.context.annotation.Lazy;
-import redis.clients.jedis.JedisPooled;
 
 /**
  * 芋道 AI 自动配置
@@ -43,6 +38,12 @@ public class YudaoAiAutoConfiguration {
         return new AiModelFactoryImpl();
     }
 
+    @Bean
+    public AiVectorFactory aiVectorFactory() {
+        return new AiVectorFactoryImpl();
+    }
+
+
     // ========== 各种 AI Client 创建 ==========
 
     @Bean
@@ -85,30 +86,31 @@ public class YudaoAiAutoConfiguration {
     }
 
     // ========== rag 相关 ==========
-    @Bean
-    @Lazy // TODO 芋艿：临时注释，避免无法启动
-    public EmbeddingModel transformersEmbeddingClient() {
-        return new TransformersEmbeddingModel(MetadataMode.EMBED);
-    }
+    // TODO @xin 免费版本
+//    @Bean
+//    @Lazy // TODO 芋艿：临时注释，避免无法启动」
+//    public EmbeddingModel transformersEmbeddingClient() {
+//        return new TransformersEmbeddingModel(MetadataMode.EMBED);
+//    }
 
     /**
-     * TODO @xin 抽离出去，根据具体模型走
+     * TODO @xin 默认版本先不弄，目前都先取对应的 EmbeddingModel
      */
-    @Bean
-    @Lazy // TODO 芋艿：临时注释，避免无法启动
-    public RedisVectorStore vectorStore(TransformersEmbeddingModel transformersEmbeddingModel, RedisVectorStoreProperties properties,
-                                        RedisProperties redisProperties) {
-        var config = RedisVectorStore.RedisVectorStoreConfig.builder()
-                .withIndexName(properties.getIndex())
-                .withPrefix(properties.getPrefix())
-                .build();
-
-        RedisVectorStore redisVectorStore = new RedisVectorStore(config, transformersEmbeddingModel,
-                new JedisPooled(redisProperties.getHost(), redisProperties.getPort()),
-                properties.isInitializeSchema());
-        redisVectorStore.afterPropertiesSet();
-        return redisVectorStore;
-    }
+//    @Bean
+//    @Lazy // TODO 芋艿：临时注释，避免无法启动
+//    public RedisVectorStore vectorStore(TongYiTextEmbeddingModel tongYiTextEmbeddingModel, RedisVectorStoreProperties properties,
+//                                        RedisProperties redisProperties) {
+//        var config = RedisVectorStore.RedisVectorStoreConfig.builder()
+//                .withIndexName(properties.getIndex())
+//                .withPrefix(properties.getPrefix())
+//                .build();
+//
+//        RedisVectorStore redisVectorStore = new RedisVectorStore(config, tongYiTextEmbeddingModel,
+//                new JedisPooled(redisProperties.getHost(), redisProperties.getPort()),
+//                properties.isInitializeSchema());
+//        redisVectorStore.afterPropertiesSet();
+//        return redisVectorStore;
+//    }
 
     @Bean
     @Lazy // TODO 芋艿：临时注释，避免无法启动

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactory.java

@@ -4,6 +4,7 @@ import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
 import cn.iocoder.yudao.framework.ai.core.model.midjourney.api.MidjourneyApi;
 import cn.iocoder.yudao.framework.ai.core.model.suno.api.SunoApi;
 import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.image.ImageModel;
 
 /**
@@ -25,6 +26,18 @@ public interface AiModelFactory {
      */
     ChatModel getOrCreateChatModel(AiPlatformEnum platform, String apiKey, String url);
 
+    /**
+     * 基于指定配置，获得 EmbeddingModel 对象
+     * <p>
+     * 如果不存在，则进行创建
+     *
+     * @param platform 平台
+     * @param apiKey   API KEY
+     * @param url      API URL
+     * @return ChatModel 对象
+     */
+    EmbeddingModel getOrCreateEmbeddingModel(AiPlatformEnum platform, String apiKey, String url);
+
     /**
      * 基于默认配置，获得 ChatModel 对象
      *

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiModelFactoryImpl.java

@@ -21,6 +21,7 @@ import com.alibaba.cloud.ai.tongyi.image.TongYiImagesModel;
 import com.alibaba.cloud.ai.tongyi.image.TongYiImagesProperties;
 import com.alibaba.dashscope.aigc.generation.Generation;
 import com.alibaba.dashscope.aigc.imagesynthesis.ImageSynthesis;
+import com.alibaba.dashscope.embeddings.TextEmbedding;
 import com.azure.ai.openai.OpenAIClient;
 import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiAutoConfiguration;
 import org.springframework.ai.autoconfigure.azure.openai.AzureOpenAiChatProperties;
@@ -37,6 +38,7 @@ import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiConnectionProperties;
 import org.springframework.ai.autoconfigure.zhipuai.ZhiPuAiImageProperties;
 import org.springframework.ai.azure.openai.AzureOpenAiChatModel;
 import org.springframework.ai.chat.model.ChatModel;
+import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.image.ImageModel;
 import org.springframework.ai.model.function.FunctionCallbackContext;
 import org.springframework.ai.ollama.OllamaChatModel;
@@ -97,6 +99,21 @@ public class AiModelFactoryImpl implements AiModelFactory {
         });
     }
 
+    @Override
+    public EmbeddingModel getOrCreateEmbeddingModel(AiPlatformEnum platform, String apiKey, String url) {
+        String cacheKey = buildClientCacheKey(EmbeddingModel.class, platform, apiKey, url);
+        return Singleton.get(cacheKey, (Func0<EmbeddingModel>) () -> {
+            // TODO @xin 先测试一个
+            switch (platform) {
+                case TONG_YI:
+                    return buildTongYiEmbeddingModel(apiKey);
+                default:
+                    throw new IllegalArgumentException(StrUtil.format("未知平台({})", platform));
+            }
+        });
+    }
+
+
     @Override
     public ChatModel getDefaultChatModel(AiPlatformEnum platform) {
         //noinspection EnhancedSwitchMigration
@@ -239,7 +256,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
 
     /**
      * 可参考 {@link ZhiPuAiAutoConfiguration#zhiPuAiChatModel(
-     * ZhiPuAiConnectionProperties, ZhiPuAiChatProperties, RestClient.Builder, List, FunctionCallbackContext, RetryTemplate, ResponseErrorHandler)}
+     *ZhiPuAiConnectionProperties, ZhiPuAiChatProperties, RestClient.Builder, List, FunctionCallbackContext, RetryTemplate, ResponseErrorHandler)}
      */
     private ZhiPuAiChatModel buildZhiPuChatModel(String apiKey, String url) {
         url = StrUtil.blankToDefault(url, ZhiPuAiConnectionProperties.DEFAULT_BASE_URL);
@@ -249,7 +266,7 @@ public class AiModelFactoryImpl implements AiModelFactory {
 
     /**
      * 可参考 {@link ZhiPuAiAutoConfiguration#zhiPuAiImageModel(
-     * ZhiPuAiConnectionProperties, ZhiPuAiImageProperties, RestClient.Builder, RetryTemplate, ResponseErrorHandler)}
+     *ZhiPuAiConnectionProperties, ZhiPuAiImageProperties, RestClient.Builder, RetryTemplate, ResponseErrorHandler)}
      */
     private ZhiPuAiImageModel buildZhiPuAiImageModel(String apiKey, String url) {
         url = StrUtil.blankToDefault(url, ZhiPuAiConnectionProperties.DEFAULT_BASE_URL);
@@ -315,4 +332,15 @@ public class AiModelFactoryImpl implements AiModelFactory {
         return new StabilityAiImageModel(stabilityAiApi);
     }
 
+    // ========== 各种创建 EmbeddingModel 的方法 ==========
+
+    /**
+     * 可参考 {@link TongYiAutoConfiguration#tongYiTextEmbeddingClient(TextEmbedding, TongYiConnectionProperties)}
+     */
+    private EmbeddingModel buildTongYiEmbeddingModel(String apiKey) {
+        TongYiConnectionProperties connectionProperties = new TongYiConnectionProperties();
+        connectionProperties.setApiKey(apiKey);
+        return new TongYiAutoConfiguration().tongYiTextEmbeddingClient(SpringUtil.getBean(TextEmbedding.class), connectionProperties);
+    }
+
 }

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiVectorFactory.java

@@ -0,0 +1,27 @@
+package cn.iocoder.yudao.framework.ai.core.factory;
+
+import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.vectorstore.VectorStore;
+
+/**
+ * AI Vector 模型工厂的接口类
+ * @author xiaoxin
+ */
+public interface AiVectorFactory {
+
+
+    /**
+     * 基于指定配置，获得 VectorStore 对象
+     * <p>
+     * 如果不存在，则进行创建
+     *
+     * @param embeddingModel 嵌入模型
+     * @param platform       平台
+     * @param apiKey         API KEY
+     * @param url            API URL
+     * @return VectorStore 对象
+     */
+    VectorStore getOrCreateVectorStore(EmbeddingModel embeddingModel, AiPlatformEnum platform, String apiKey, String url);
+
+}

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/cn/iocoder/yudao/framework/ai/core/factory/AiVectorFactoryImpl.java

@@ -0,0 +1,51 @@
+package cn.iocoder.yudao.framework.ai.core.factory;
+
+import cn.hutool.core.lang.Singleton;
+import cn.hutool.core.lang.func.Func0;
+import cn.hutool.core.util.ArrayUtil;
+import cn.hutool.core.util.StrUtil;
+import cn.iocoder.yudao.framework.ai.core.enums.AiPlatformEnum;
+import cn.iocoder.yudao.framework.common.util.spring.SpringUtils;
+import org.springframework.ai.embedding.EmbeddingModel;
+import org.springframework.ai.vectorstore.RedisVectorStore;
+import org.springframework.ai.vectorstore.VectorStore;
+import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
+import redis.clients.jedis.JedisPooled;
+
+/**
+ * AI Vector 模型工厂的实现类
+ * 使用 redisVectorStore 实现 VectorStore
+ *
+ * @author xiaoxin
+ */
+public class AiVectorFactoryImpl implements AiVectorFactory {
+
+    @Override
+    public VectorStore getOrCreateVectorStore(EmbeddingModel embeddingModel, AiPlatformEnum platform, String apiKey, String url) {
+        String cacheKey = buildClientCacheKey(VectorStore.class, platform, apiKey, url);
+        return Singleton.get(cacheKey, (Func0<VectorStore>) () -> {
+            // TODO 芋艿 @xin 这两个配置取哪好呢
+            // TODO 不同模型的向量维度可能会不一样，目前看貌似是以 index 来做区分的，维度不一样存不到一个 index 上
+            String index = "default-index";
+            String prefix = "default:";
+            var config = RedisVectorStore.RedisVectorStoreConfig.builder()
+                    .withIndexName(index)
+                    .withPrefix(prefix)
+                    .build();
+            RedisProperties redisProperties = SpringUtils.getBean(RedisProperties.class);
+            RedisVectorStore redisVectorStore = new RedisVectorStore(config, embeddingModel,
+                    new JedisPooled(redisProperties.getHost(), redisProperties.getPort()),
+                    true);
+            redisVectorStore.afterPropertiesSet();
+            return redisVectorStore;
+        });
+    }
+
+
+    private static String buildClientCacheKey(Class<?> clazz, Object... params) {
+        if (ArrayUtil.isEmpty(params)) {
+            return clazz.getName();
+        }
+        return StrUtil.format("{}#{}", clazz.getName(), ArrayUtil.join(params, "_"));
+    }
+}

yudao-module-ai/yudao-spring-boot-starter-ai/src/main/java/org/springframework/ai/autoconfigure/vectorstore/redis/RedisVectorStoreAutoConfiguration.java

@@ -19,6 +19,7 @@ import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.vectorstore.RedisVectorStore;
 import org.springframework.ai.vectorstore.RedisVectorStore.RedisVectorStoreConfig;
 import org.springframework.boot.autoconfigure.AutoConfiguration;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
 import org.springframework.boot.autoconfigure.data.redis.RedisAutoConfiguration;
@@ -38,7 +39,7 @@ import redis.clients.jedis.JedisPooled;
  */
 @AutoConfiguration(after = RedisAutoConfiguration.class)
 @ConditionalOnClass({JedisPooled.class, JedisConnectionFactory.class, RedisVectorStore.class, EmbeddingModel.class})
-//@ConditionalOnBean(JedisConnectionFactory.class)
+@ConditionalOnBean(JedisConnectionFactory.class)
 @EnableConfigurationProperties(RedisVectorStoreProperties.class)
 public class RedisVectorStoreAutoConfiguration {