知识库rerank设置

2025-11-07 11:21:27 +08:00
parent d9947e273c
commit b98450df96
8 changed files with 360 additions and 34 deletions
--- a/schoolNewsServ/.bin/mysql/sql/createTableAI.sql
+++ b/schoolNewsServ/.bin/mysql/sql/createTableAI.sql
@@ -42,6 +42,7 @@ CREATE TABLE `tb_ai_knowledge` (
  `embedding_model_provider` VARCHAR(100) DEFAULT NULL COMMENT '向量模型提供商',
  `rerank_model` VARCHAR(100) DEFAULT NULL COMMENT 'Rerank模型名称',
  `rerank_model_provider` VARCHAR(100) DEFAULT NULL COMMENT 'Rerank模型提供商',
+  `reranking_enable` TINYINT(1) DEFAULT 0 COMMENT '是否启用Rerank（0否 1是）',
  `retrieval_top_k` INT(11) DEFAULT 2 COMMENT '检索Top K（返回前K个结果）',
  `retrieval_score_threshold` DECIMAL(3,2) DEFAULT 0.00 COMMENT '检索分数阈值（0.00-1.00）',
  `vector_id` VARCHAR(100) DEFAULT NULL COMMENT '向量ID（用于向量检索）',
--- a/schoolNewsServ/ai/src/main/java/org/xyzh/ai/client/dto/RetrievalModel.java
+++ b/schoolNewsServ/ai/src/main/java/org/xyzh/ai/client/dto/RetrievalModel.java
@@ -19,24 +19,24 @@ public class RetrievalModel {
    @JSONField(name = "search_method")
    private String searchMethod;
    
-    /**
-     * Rerank模型提供商
-     */
-    @JSONField(name = "reranking_provider_name")
-    private String rerankingProviderName;
-    
-    /**
-     * Rerank模型名称
-     */
-    @JSONField(name = "reranking_model")
-    private String rerankingModel;
-    
    /**
     * Rerank是否启用
     */
    @JSONField(name = "reranking_enable")
    private Boolean rerankingEnable;
    
+    /**
+     * Rerank模式（字符串，值为 "reranking_model"）
+     */
+    @JSONField(name = "reranking_mode")
+    private String rerankingMode;
+    
+    /**
+     * Rerank模型配置（当 reranking_enable=true 时必须设置）
+     */
+    @JSONField(name = "reranking_model")
+    private RerankingModel rerankingModel;
+    
    /**
     * Top K（返回前K个结果）
     */
@@ -54,5 +54,23 @@ public class RetrievalModel {
     */
    @JSONField(name = "score_threshold_enabled")
    private Boolean scoreThresholdEnabled;
+    
+    /**
+     * Rerank模型配置（嵌套对象）
+     */
+    @Data
+    public static class RerankingModel {
+        /**
+         * Rerank模型提供商
+         */
+        @JSONField(name = "reranking_provider_name")
+        private String rerankingProviderName;
+        
+        /**
+         * Rerank模型名称
+         */
+        @JSONField(name = "reranking_model_name")
+        private String rerankingModelName;
+    }
 }

--- a/schoolNewsServ/ai/src/main/java/org/xyzh/ai/service/impl/AiKnowledgeServiceImpl.java
+++ b/schoolNewsServ/ai/src/main/java/org/xyzh/ai/service/impl/AiKnowledgeServiceImpl.java
@@ -29,6 +29,8 @@ import org.xyzh.common.dto.user.TbSysUser;
 import org.xyzh.common.vo.UserDeptRoleVO;
 import org.xyzh.system.utils.LoginUtil;

+import com.alibaba.fastjson2.JSON;
+
 import java.util.ArrayList;
 import java.util.Date;
 import java.util.HashMap;
@@ -118,7 +120,7 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {

                // 设置检索模型配置（Rerank、Top K、Score 阈值）
                RetrievalModel retrievalModel = new RetrievalModel();
-                retrievalModel.setSearchMethod("hybrid_search"); // 默认使用混合搜索
+                retrievalModel.setSearchMethod("hybrid_search"); // 必填字段
                
                // Top K 配置
                if (knowledge.getRetrievalTopK() != null && knowledge.getRetrievalTopK() > 0) {
@@ -136,20 +138,40 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
                    retrievalModel.setScoreThresholdEnabled(false);
                }
                
-                // Rerank 模型配置
-                if (StringUtils.hasText(knowledge.getRerankModel())) {
-                    retrievalModel.setRerankingEnable(true);
-                    retrievalModel.setRerankingModel(knowledge.getRerankModel());
-                    retrievalModel.setRerankingProviderName(knowledge.getRerankModelProvider());
-                    log.info("创建知识库 - 启用Rerank: model={}, provider={}", 
-                            knowledge.getRerankModel(), knowledge.getRerankModelProvider());
+                // Rerank 模型配置（以前端传参为准）
+                Boolean rerankEnable = knowledge.getRerankingEnable() != null ? 
+                                      knowledge.getRerankingEnable() : false;
+                retrievalModel.setRerankingEnable(rerankEnable);
+                
+                if (rerankEnable) {
+                    // 启用 Rerank 时，model 和 provider 必须有值
+                    if (!StringUtils.hasText(knowledge.getRerankModel())) {
+                        throw new IllegalArgumentException("启用Rerank后必须指定rerankModel");
+                    }
+                    if (!StringUtils.hasText(knowledge.getRerankModelProvider())) {
+                        throw new IllegalArgumentException("启用Rerank后必须指定rerankModelProvider");
+                    }
+                    
+                    // 设置 reranking_mode 为固定值 "reranking_model"
+                    retrievalModel.setRerankingMode("reranking_model");
+                    
+                    // 创建 RerankingModel 对象（嵌套在 reranking_model 字段中）
+                    RetrievalModel.RerankingModel rerankingModel = new RetrievalModel.RerankingModel();
+                    rerankingModel.setRerankingProviderName(knowledge.getRerankModelProvider());
+                    rerankingModel.setRerankingModelName(knowledge.getRerankModel());
+                    retrievalModel.setRerankingModel(rerankingModel);
+                    
+                    log.info("创建知识库 - 启用Rerank: enable={}, mode=reranking_model, model={}, provider={}", 
+                            rerankEnable, knowledge.getRerankModel(), knowledge.getRerankModelProvider());
                } else {
-                    retrievalModel.setRerankingEnable(false);
+                    // 禁用 Rerank（不设置 rerankingMode 和 rerankingModel）
+                    log.info("创建知识库 - 禁用Rerank");
                }
                
                difyRequest.setRetrievalModel(retrievalModel);

                // 调用Dify API创建知识库（使用知识库API Key）
+                log.info("创建知识库 - 请求参数: {}", JSON.toJSONString(difyRequest));
                DatasetCreateResponse difyResponse = difyApiClient.createDataset(difyRequest);
                
                difyDatasetId = difyResponse.getId();
@@ -300,6 +322,82 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
                }
                needUpdateDify = true;
            }
+            
+            // 检索配置变化（Rerank、Top K、Score阈值）
+            boolean retrievalConfigChanged = false;
+            
+            // 检测 Rerank 开关状态变化
+            Boolean newRerankEnable = knowledge.getRerankingEnable();
+            Boolean existingRerankEnable = existing.getRerankingEnable();
+            boolean rerankEnableChanged = (newRerankEnable != null && !newRerankEnable.equals(existingRerankEnable));
+            
+            // 检测 Rerank 模型变化
+            String newRerankModel = knowledge.getRerankModel();
+            String existingRerankModel = existing.getRerankModel();
+            boolean rerankModelChanged = (newRerankModel != null && !newRerankModel.equals(existingRerankModel));
+            
+            if (rerankEnableChanged || rerankModelChanged ||
+                (knowledge.getRetrievalTopK() != null && !knowledge.getRetrievalTopK().equals(existing.getRetrievalTopK())) ||
+                (knowledge.getRetrievalScoreThreshold() != null && !knowledge.getRetrievalScoreThreshold().equals(existing.getRetrievalScoreThreshold()))) {
+                retrievalConfigChanged = true;
+            }
+            
+            if (retrievalConfigChanged) {
+                RetrievalModel retrievalModel = new RetrievalModel();
+                retrievalModel.setSearchMethod("hybrid_search"); // 必填字段
+                
+                // Top K
+                if (knowledge.getRetrievalTopK() != null) {
+                    retrievalModel.setTopK(knowledge.getRetrievalTopK());
+                } else {
+                    retrievalModel.setTopK(existing.getRetrievalTopK() != null ? existing.getRetrievalTopK() : 2);
+                }
+                
+                // Score 阈值
+                Double scoreThreshold = knowledge.getRetrievalScoreThreshold() != null ? 
+                                        knowledge.getRetrievalScoreThreshold() : 
+                                        (existing.getRetrievalScoreThreshold() != null ? existing.getRetrievalScoreThreshold() : 0.0);
+                retrievalModel.setScoreThreshold(scoreThreshold);
+                retrievalModel.setScoreThresholdEnabled(scoreThreshold > 0);
+                
+                // Rerank 配置（以前端传参为准）
+                Boolean finalRerankEnable = newRerankEnable != null ? newRerankEnable : 
+                                           (existingRerankEnable != null ? existingRerankEnable : false);
+                String finalRerankModel = newRerankModel != null ? newRerankModel : existingRerankModel;
+                String finalRerankProvider = knowledge.getRerankModelProvider() != null ? 
+                                            knowledge.getRerankModelProvider() : existing.getRerankModelProvider();
+                
+                // 直接使用前端传入的开关状态
+                retrievalModel.setRerankingEnable(finalRerankEnable);
+                
+                if (finalRerankEnable) {
+                    // 启用 Rerank 时，model 和 provider 必须有值
+                    if (!StringUtils.hasText(finalRerankModel)) {
+                        throw new IllegalArgumentException("启用Rerank后必须指定rerankModel");
+                    }
+                    if (!StringUtils.hasText(finalRerankProvider)) {
+                        throw new IllegalArgumentException("启用Rerank后必须指定rerankModelProvider");
+                    }
+                    
+                    // 设置 reranking_mode 为固定值 "reranking_model"
+                    retrievalModel.setRerankingMode("reranking_model");
+                    
+                    // 创建 RerankingModel 对象（嵌套在 reranking_model 字段中）
+                    RetrievalModel.RerankingModel rerankingModel = new RetrievalModel.RerankingModel();
+                    rerankingModel.setRerankingProviderName(finalRerankProvider);
+                    rerankingModel.setRerankingModelName(finalRerankModel);
+                    retrievalModel.setRerankingModel(rerankingModel);
+                    
+                    log.info("更新Rerank配置: 启用 - enable={}, mode=reranking_model, model={}, provider={}", 
+                            finalRerankEnable, finalRerankModel, finalRerankProvider);
+                } else {
+                    // 禁用 Rerank（不设置 rerankingMode 和 rerankingModel）
+                    log.info("更新Rerank配置: 禁用 - enable={}", finalRerankEnable);
+                }
+                
+                updateRequest.setRetrievalModel(retrievalModel);
+                needUpdateDify = true;
+            }

            // 同步到Dify
            if (needUpdateDify && StringUtils.hasText(existing.getDifyDatasetId())) {
--- a/schoolNewsServ/ai/src/main/resources/mapper/AiKnowledgeMapper.xml
+++ b/schoolNewsServ/ai/src/main/resources/mapper/AiKnowledgeMapper.xml
@@ -21,6 +21,7 @@
        <result column="embedding_model_provider" property="embeddingModelProvider" jdbcType="VARCHAR"/>
        <result column="rerank_model" property="rerankModel" jdbcType="VARCHAR"/>
        <result column="rerank_model_provider" property="rerankModelProvider" jdbcType="VARCHAR"/>
+        <result column="reranking_enable" property="rerankingEnable" jdbcType="BOOLEAN"/>
        <result column="retrieval_top_k" property="retrievalTopK" jdbcType="INTEGER"/>
        <result column="retrieval_score_threshold" property="retrievalScoreThreshold" jdbcType="DECIMAL"/>
        <result column="vector_id" property="vectorID" jdbcType="VARCHAR"/>
@@ -40,7 +41,7 @@
    <sql id="Base_Column_List">
        id, title, avatar, description, content, source_type, source_id, file_name, file_path, 
        category, tags, dify_dataset_id, dify_indexing_technique, embedding_model, embedding_model_provider, 
-        rerank_model, rerank_model_provider, retrieval_top_k, retrieval_score_threshold,
+        rerank_model, rerank_model_provider, reranking_enable, retrieval_top_k, retrieval_score_threshold,
        vector_id, document_count, total_chunks, status, creator, creator_dept, 
        updater, create_time, update_time, delete_time, deleted
    </sql>
@@ -170,13 +171,13 @@
        INSERT INTO tb_ai_knowledge (
            id, title, avatar, description, content, source_type, source_id, file_name, file_path,
            category, tags, dify_dataset_id, dify_indexing_technique, embedding_model, embedding_model_provider,
-            rerank_model, rerank_model_provider, retrieval_top_k, retrieval_score_threshold,
+            rerank_model, rerank_model_provider, reranking_enable, retrieval_top_k, retrieval_score_threshold,
            vector_id, document_count, total_chunks, status, creator, creator_dept,
            updater, create_time, update_time, deleted
        ) VALUES (
            #{ID}, #{title}, #{avatar}, #{description}, #{content}, #{sourceType}, #{sourceID}, #{fileName}, #{filePath},
            #{category}, #{tags}, #{difyDatasetId}, #{difyIndexingTechnique}, #{embeddingModel}, #{embeddingModelProvider},
-            #{rerankModel}, #{rerankModelProvider}, #{retrievalTopK}, #{retrievalScoreThreshold},
+            #{rerankModel}, #{rerankModelProvider}, #{rerankingEnable}, #{retrievalTopK}, #{retrievalScoreThreshold},
            #{vectorID}, #{documentCount}, #{totalChunks}, #{status}, #{creator}, #{creatorDept},
            #{updater}, #{createTime}, #{updateTime}, #{deleted}
        )
@@ -202,6 +203,7 @@
            <if test="embeddingModelProvider != null">embedding_model_provider = #{embeddingModelProvider},</if>
            <if test="rerankModel != null">rerank_model = #{rerankModel},</if>
            <if test="rerankModelProvider != null">rerank_model_provider = #{rerankModelProvider},</if>
+            <if test="rerankingEnable != null">reranking_enable = #{rerankingEnable},</if>
            <if test="retrievalTopK != null">retrieval_top_k = #{retrievalTopK},</if>
            <if test="retrievalScoreThreshold != null">retrieval_score_threshold = #{retrievalScoreThreshold},</if>
            <if test="vectorID != null">vector_id = #{vectorID},</if>
--- a/schoolNewsServ/common/common-dto/src/main/java/org/xyzh/common/dto/ai/TbAiKnowledge.java
+++ b/schoolNewsServ/common/common-dto/src/main/java/org/xyzh/common/dto/ai/TbAiKnowledge.java
@@ -93,6 +93,11 @@ public class TbAiKnowledge extends BaseDTO {
     */
    private String rerankModelProvider;
    
+    /**
+     * @description 是否启用Rerank
+     */
+    private Boolean rerankingEnable;
+    
    /**
     * @description 检索Top K（返回前K个结果）
     */
@@ -322,6 +327,14 @@ public class TbAiKnowledge extends BaseDTO {
        this.rerankModelProvider = rerankModelProvider;
    }

+    public Boolean getRerankingEnable() {
+        return rerankingEnable;
+    }
+
+    public void setRerankingEnable(Boolean rerankingEnable) {
+        this.rerankingEnable = rerankingEnable;
+    }
+
    public Integer getRetrievalTopK() {
        return retrievalTopK;
    }
--- a/schoolNewsWeb/src/apis/ai/knowledge.ts
+++ b/schoolNewsWeb/src/apis/ai/knowledge.ts
@@ -142,6 +142,15 @@ export const knowledgeApi = {
  async getAvailableEmbeddingModels(): Promise<ResultDomain<any>> {
    const response = await api.get<any>('/ai/knowledge/embedding-models');
    return response.data;
+  },
+
+  /**
+   * 获取可用的Rerank模型列表
+   * @returns Promise<ResultDomain<any>>
+   */
+  async getAvailableRerankModels(): Promise<ResultDomain<any>> {
+    const response = await api.get<any>('/ai/knowledge/rerank-models');
+    return response.data;
  }
 };

--- a/schoolNewsWeb/src/types/ai/index.ts
+++ b/schoolNewsWeb/src/types/ai/index.ts
@@ -75,6 +75,16 @@ export interface AiKnowledge extends BaseDTO {
  embeddingModel?: string;
  /** Embedding模型提供商 */
  embeddingModelProvider?: string;
+  /** Rerank模型 */
+  rerankModel?: string;
+  /** Rerank模型提供商 */
+  rerankModelProvider?: string;
+  /** 是否启用Rerank */
+  rerankingEnable?: boolean;
+  /** 检索Top K（返回前K个结果） */
+  retrievalTopK?: number;
+  /** 检索分数阈值（0.00-1.00） */
+  retrievalScoreThreshold?: number;
  /** 向量ID */
  vectorID?: string;
  /** 文档数量 */
--- a/schoolNewsWeb/src/views/admin/manage/ai/components/KnowledgeBasic.vue
+++ b/schoolNewsWeb/src/views/admin/manage/ai/components/KnowledgeBasic.vue
@@ -25,14 +25,32 @@
              <span class="label">索引方式：</span>
              <span class="value">{{ getIndexingText(knowledge?.difyIndexingTechnique) }}</span>
            </div>
-            <div class="meta-item" v-if="knowledge?.difyIndexingTechnique == 'high_quality'">
-              <span class="label">Embedding模型：</span>
-              <span class="value">{{ knowledge?.embeddingModel || '-' }}</span>
-            </div>
-            <div class="meta-item">
-              <span class="label">文档数量：</span>
-              <span class="value">{{ knowledge?.documentCount || 0 }}</span>
-            </div>
+                  <div class="meta-item" v-if="knowledge?.difyIndexingTechnique == 'high_quality'">
+                    <span class="label">Embedding模型：</span>
+                    <span class="value">{{ knowledge?.embeddingModel || '-' }}</span>
+                  </div>
+                  <div class="meta-item">
+                    <span class="label">Rerank状态：</span>
+                    <el-tag :type="knowledge?.rerankingEnable ? 'success' : 'info'" size="small">
+                      {{ knowledge?.rerankingEnable ? '已启用' : '未启用' }}
+                    </el-tag>
+                  </div>
+                  <div class="meta-item" v-if="knowledge?.rerankingEnable && knowledge?.rerankModel">
+                    <span class="label">Rerank模型：</span>
+                    <span class="value">{{ knowledge.rerankModel }}</span>
+                  </div>
+                  <div class="meta-item">
+                    <span class="label">检索Top K：</span>
+                    <span class="value">{{ knowledge?.retrievalTopK || 2 }}</span>
+                  </div>
+                  <div class="meta-item" v-if="(knowledge?.retrievalScoreThreshold || 0) > 0">
+                    <span class="label">检索阈值：</span>
+                    <span class="value">{{ knowledge?.retrievalScoreThreshold }}</span>
+                  </div>
+                  <div class="meta-item">
+                    <span class="label">文档数量：</span>
+                    <span class="value">{{ knowledge?.documentCount || 0 }}</span>
+                  </div>
            <div class="meta-item">
              <span class="label">创建时间：</span>
              <span class="value">{{ formatDate(knowledge?.createTime) }}</span>
@@ -138,6 +156,81 @@
          </div>
        </el-form-item>

+        <!-- Rerank模型配置 -->
+        <el-form-item label="启用Rerank" prop="rerankingEnable">
+          <el-switch
+            v-model="formData.rerankingEnable"
+            :active-value="true"
+            :inactive-value="false"
+            active-text="启用"
+            inactive-text="禁用"
+          />
+          <div class="form-tip">
+            Rerank可以对检索结果进行重新排序，提高精确度
+          </div>
+        </el-form-item>
+
+        <el-form-item v-if="formData.rerankingEnable" label="Rerank模型" prop="rerankModel">
+          <el-select
+            v-model="formData.rerankModel"
+            placeholder="请选择Rerank模型"
+            clearable
+            filterable
+            :loading="rerankModelsLoading"
+            @change="handleRerankModelChange"
+          >
+            <el-option-group
+              v-for="provider in rerankModels"
+              :key="provider.provider"
+              :label="provider.label || provider.provider"
+            >
+              <el-option
+                v-for="model in provider.models"
+                :key="model.model"
+                :label="getModelLabel(model)"
+                :value="model.model"
+                :data-provider="model.provider"
+              >
+                <span>{{ getModelLabel(model) }}</span>
+                <span v-if="model.contextSize" style="float: right; color: var(--el-text-color-secondary); font-size: 13px">
+                  上下文: {{ model.contextSize }}
+                </span>
+              </el-option>
+            </el-option-group>
+          </el-select>
+          <div class="form-tip">
+            选择用于重新排序的Rerank模型
+          </div>
+        </el-form-item>
+
+        <!-- 检索参数配置 -->
+        <el-form-item label="检索Top K" prop="retrievalTopK">
+          <el-input-number
+            v-model="formData.retrievalTopK"
+            :min="1"
+            :max="20"
+            :step="1"
+            placeholder="返回前K个结果"
+          />
+          <div class="form-tip">
+            返回前K个最相关的检索结果，建议范围：2-10
+          </div>
+        </el-form-item>
+
+        <el-form-item label="检索分数阈值" prop="retrievalScoreThreshold">
+          <el-input-number
+            v-model="formData.retrievalScoreThreshold"
+            :min="0"
+            :max="1"
+            :step="0.01"
+            :precision="2"
+            placeholder="分数阈值"
+          />
+          <div class="form-tip">
+            只返回分数高于此阈值的结果（0.00-1.00），0表示不启用
+          </div>
+        </el-form-item>
+
        <el-form-item label="Dify数据集ID" prop="difyDatasetId">
          <el-input
            v-model="formData.difyDatasetId"
@@ -199,7 +292,9 @@ const emit = defineEmits<{
 const formRef = ref<FormInstance>();
 const submitting = ref(false);
 const modelsLoading = ref(false);
+const rerankModelsLoading = ref(false);
 const embeddingModels = ref<any[]>([]);
+const rerankModels = ref<any[]>([]);

 // 表单数据
 const formData = reactive<Partial<AiKnowledge>>({
@@ -209,6 +304,11 @@ const formData = reactive<Partial<AiKnowledge>>({
  difyIndexingTechnique: 'high_quality',
  embeddingModel: '',
  embeddingModelProvider: '',
+  rerankModel: '',
+  rerankModelProvider: '',
+  rerankingEnable: false,
+  retrievalTopK: 2,
+  retrievalScoreThreshold: 0.0,
  difyDatasetId: '',
  status: 1
 });
@@ -221,6 +321,18 @@ const rules: FormRules = {
  ],
  difyIndexingTechnique: [
    { required: true, message: '请选择索引方式', trigger: 'change' }
+  ],
+  rerankModel: [
+    {
+      validator: (rule: any, value: any, callback: any) => {
+        if (formData.rerankingEnable && !value) {
+          callback(new Error('启用Rerank后必须选择Rerank模型'));
+        } else {
+          callback();
+        }
+      },
+      trigger: 'change'
+    }
  ]
 };

@@ -235,12 +347,25 @@ watch(() => props.knowledge, (newVal) => {
      difyIndexingTechnique: newVal.difyIndexingTechnique || 'high_quality',
      embeddingModel: newVal.embeddingModel,
      embeddingModelProvider: newVal.embeddingModelProvider,
+      rerankModel: newVal.rerankModel,
+      rerankModelProvider: newVal.rerankModelProvider,
+      rerankingEnable: newVal.rerankingEnable ?? false,
+      retrievalTopK: newVal.retrievalTopK ?? 2,
+      retrievalScoreThreshold: newVal.retrievalScoreThreshold ?? 0.0,
      difyDatasetId: newVal.difyDatasetId,
      status: newVal.status ?? 1
    });
  }
 }, { immediate: true });

+// 监听 rerankingEnable 变化，触发表单验证
+watch(() => formData.rerankingEnable, () => {
+  if (formRef.value) {
+    // 触发 rerankModel 字段的验证
+    formRef.value.validateField('rerankModel', () => {});
+  }
+});
+
 // 处理头像更新
 function handleAvatarUpdate(val: string) {
  formData.avatar = val;
@@ -295,12 +420,43 @@ async function loadEmbeddingModels() {
  }
 }

+// 加载Rerank模型列表
+async function loadRerankModels() {
+  try {
+    rerankModelsLoading.value = true;
+    const result = await knowledgeApi.getAvailableRerankModels();
+    if (result.success && result.data) {
+      // 按提供商分组
+      const providers = result.data.providers || [];
+      rerankModels.value = providers.map((provider: any) => ({
+        provider: provider.provider,
+        label: provider.label?.zh_Hans || provider.label?.en_US || provider.provider,
+        models: (provider.models || []).map((model: any) => ({
+          model: model.model,
+          provider: model.provider || provider.provider,
+          label: model.label?.zh_Hans || model.label?.en_US || model.model,
+          contextSize: model.model_properties?.context_size,
+          status: model.status
+        }))
+      }));
+    } else {
+      ElMessage.warning('获取Rerank模型列表失败');
+      rerankModels.value = [];
+    }
+  } catch (error: any) {
+    console.error('加载Rerank模型列表失败:', error);
+    rerankModels.value = [];
+  } finally {
+    rerankModelsLoading.value = false;
+  }
+}
+
 // 获取模型显示标签
 function getModelLabel(model: any): string {
  return model.label || model.model;
 }

-// 处理模型变化
+// 处理Embedding模型变化
 function handleModelChange(modelName: string) {
  if (!modelName) {
    formData.embeddingModelProvider = '';
@@ -312,7 +468,25 @@ function handleModelChange(modelName: string) {
    const foundModel = providerGroup.models.find((m: any) => m.model === modelName);
    if (foundModel) {
      formData.embeddingModelProvider = foundModel.provider;
-      console.log('选择模型:', modelName, '提供商:', foundModel.provider);
+      console.log('选择Embedding模型:', modelName, '提供商:', foundModel.provider);
+      break;
+    }
+  }
+}
+
+// 处理Rerank模型变化
+function handleRerankModelChange(modelName: string) {
+  if (!modelName) {
+    formData.rerankModelProvider = '';
+    return;
+  }
+  
+  // 查找选中模型的提供商
+  for (const providerGroup of rerankModels.value) {
+    const foundModel = providerGroup.models.find((m: any) => m.model === modelName);
+    if (foundModel) {
+      formData.rerankModelProvider = foundModel.provider;
+      console.log('选择Rerank模型:', modelName, '提供商:', foundModel.provider);
      break;
    }
  }
@@ -320,6 +494,7 @@ function handleModelChange(modelName: string) {

 // 组件挂载时加载模型列表
 loadEmbeddingModels();
+loadRerankModels();

 // 提交表单
 async function handleSubmit() {