feat: Refactor knowledge base retrieval to return detailed search results and enhance API integration #108

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/application/KnowledgeBaseService.java

@@ -76,16 +76,14 @@ public class KnowledgeBaseService {
     public void update(String knowledgeBaseId, KnowledgeBaseUpdateReq request) {
         KnowledgeBase knowledgeBase = Optional.ofNullable(knowledgeBaseRepository.getById(knowledgeBaseId))
                 .orElseThrow(() -> BusinessException.of(KnowledgeBaseErrorCode.KNOWLEDGE_BASE_NOT_FOUND));
-        if (StringUtils.hasText(request.getName())) {
+        if (StringUtils.hasText(request.getName()) && !knowledgeBase.getName().equals(request.getName())) {
             milvusService.getMilvusClient().renameCollection(RenameCollectionReq.builder()
                     .collectionName(knowledgeBase.getName())
                     .newCollectionName(request.getName())
                     .build());
             knowledgeBase.setName(request.getName());
         }
-        if (StringUtils.hasText(request.getDescription())) {
-            knowledgeBase.setDescription(request.getDescription());
-        }
+        knowledgeBase.setDescription(request.getDescription());
         knowledgeBaseRepository.updateById(knowledgeBase);
     }
 
@@ -147,7 +145,7 @@ public class KnowledgeBaseService {
             RagFile ragFile = new RagFile();
             ragFile.setKnowledgeBaseId(knowledgeBase.getId());
             ragFile.setFileId(fileInfo.id());
-            ragFile.setFileName(fileInfo.name());
+            ragFile.setFileName(fileInfo.fileName());
             ragFile.setStatus(FileStatus.UNPROCESSED);
             return ragFile;
         }).toList();
@@ -209,23 +207,19 @@ public class KnowledgeBaseService {
      * @param request 检索请求
      * @return 检索结果
      */
-    public SearchResp retrieve(RetrieveReq request) {
+    public List<SearchResp.SearchResult> retrieve(RetrieveReq request) {
         KnowledgeBase knowledgeBase = Optional.ofNullable(knowledgeBaseRepository.getById(request.getKnowledgeBaseIds().getFirst()))
                 .orElseThrow(() -> BusinessException.of(KnowledgeBaseErrorCode.KNOWLEDGE_BASE_NOT_FOUND));
         ModelConfig modelConfig = modelConfigRepository.getById(knowledgeBase.getEmbeddingModel());
         EmbeddingModel embeddingModel = ModelClient.invokeEmbeddingModel(modelConfig);
         Embedding embedding = embeddingModel.embed(request.getQuery()).content();
         SearchResp searchResp = milvusService.hybridSearch(knowledgeBase.getName(), request.getQuery(), embedding.vector(), request.getTopK());
-        return searchResp;
+        List<SearchResp.SearchResult> searchResults = searchResp.getSearchResults().getFirst();
 
-//        request.getKnowledgeBaseIds().forEach(knowledgeId -> {
-//            KnowledgeBase knowledgeBase = Optional.ofNullable(knowledgeBaseRepository.getById(knowledgeId))
-//                    .orElseThrow(() -> BusinessException.of(KnowledgeBaseErrorCode.KNOWLEDGE_BASE_NOT_FOUND));
-//            ModelConfig modelConfig = modelConfigRepository.getById(knowledgeBase.getEmbeddingModel());
-//            EmbeddingModel embeddingModel = ModelClient.invokeEmbeddingModel(modelConfig);
-//            Embedding embedding = embeddingModel.embed(request.getQuery()).content();
-//            searchResp = milvusService.hybridSearch(knowledgeBase.getName(), request.getQuery(), embedding.vector(), request.getTopK());
-//        });
-//        return searchResp;
+        searchResults.forEach(item -> {
+            String metadata = item.getEntity().get("metadata").toString();
+            item.getEntity().put("metadata", metadata);
+        });
+        return searchResults;
     }
 }

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/infrastructure/milvus/MilvusService.java

@@ -15,6 +15,7 @@ import io.milvus.v2.service.collection.request.AddFieldReq;
 import io.milvus.v2.service.collection.request.CreateCollectionReq;
 import io.milvus.v2.service.collection.request.HasCollectionReq;
 import io.milvus.v2.service.vector.request.AnnSearchReq;
+import io.milvus.v2.service.vector.request.FunctionScore;
 import io.milvus.v2.service.vector.request.HybridSearchReq;
 import io.milvus.v2.service.vector.request.InsertReq;
 import io.milvus.v2.service.vector.request.data.BaseVector;
@@ -197,21 +198,26 @@ public class MilvusService {
                 .params("{\"drop_ratio_search\": 0.2}")
                 .topK(topK)
                 .build());
+
         CreateCollectionReq.Function ranker = CreateCollectionReq.Function.builder()
-                .name("rrf")
+                .name("weight")
                 .functionType(FunctionType.RERANK)
-                .param("reranker", "rrf")
-                .param("k", "60")
+                .param("reranker", "weighted")
+                .param("weights", "[0.1, 0.9]")
+                .param("norm_score", "true")
                 .build();
 
+        FunctionScore functionScore = FunctionScore.builder()
+                .functions(Collections.singletonList(ranker))
+                .build();
 
 
         SearchResp searchResp = this.getMilvusClient().hybridSearch(HybridSearchReq.builder()
                 .collectionName(collectionName)
                 .searchRequests(searchRequests)
-                .ranker(ranker)
+                .functionScore(functionScore)
                 .outFields(Arrays.asList("id", "text", "metadata"))
-                .topK(topK)
+                .limit(topK)
                 .build());
         return searchResp;
     }

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/interfaces/KnowledgeBaseController.java

@@ -11,6 +11,8 @@ import jakarta.validation.Valid;
 import lombok.RequiredArgsConstructor;
 import org.springframework.web.bind.annotation.*;
 
+import java.util.List;
+
 
 /**
  * 知识库控制器
@@ -136,7 +138,7 @@ public class KnowledgeBaseController {
      * @return 检索结果
      */
     @PostMapping("/retrieve")
-    public SearchResp retrieve(@RequestBody @Valid RetrieveReq request) {
+    public List<SearchResp.SearchResult> retrieve(@RequestBody @Valid RetrieveReq request) {
         return knowledgeBaseService.retrieve(request);
     }
 }

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/interfaces/dto/AddFilesReq.java

@@ -21,6 +21,6 @@ public class AddFilesReq {
     private String delimiter;
     private List<FileInfo> files;
 
-    public record FileInfo(String id, String name) {
+    public record FileInfo(String id, String fileName) {
     }
 }

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/interfaces/dto/KnowledgeBaseCreateReq.java

@@ -20,12 +20,12 @@ public class KnowledgeBaseCreateReq {
      */
     @NotEmpty(message = "知识库名称不能为空")
     @Size(min = 1, max = 255, message = "知识库名称长度必须在 1 到 255 之间")
-    @Pattern(regexp = "^[a-zA-Z0-9_]+$", message = "知识库名称只能包含字母、数字和下划线")
+    @Pattern(regexp = "^[a-zA-Z][a-zA-Z0-9_]*$", message = "知识库名称只能包含字母、数字和下划线")
     private String name;
     /**
      * 知识库描述
      */
-    @Size(min = 1, max = 512, message = "知识库描述长度必须在 1 到 512 之间")
+    @Size(max = 512, message = "知识库描述长度必须在 0 到 512 之间")
     private String description;
 
     /**

backend/services/rag-indexer-service/src/main/java/com/datamate/rag/indexer/interfaces/dto/KnowledgeBaseUpdateReq.java

@@ -20,11 +20,11 @@ public class KnowledgeBaseUpdateReq {
      */
     @NotEmpty(message = "知识库名称不能为空")
     @Size(min = 1, max = 255, message = "知识库名称长度必须在 1 到 255 之间")
-    @Pattern(regexp = "^[a-zA-Z0-9_]+$", message = "知识库名称只能包含字母、数字和下划线")
+    @Pattern(regexp = "^[a-zA-Z][a-zA-Z0-9_]*$", message = "知识库名称只能包含字母、数字和下划线")
     private String name;
     /**
      * 知识库描述
      */
-    @Size(min = 1, max = 512, message = "知识库描述长度必须在 1 到 512 之间")
+    @Size(max = 512, message = "知识库描述长度必须在 0 到 512 之间")
     private String description;
 }