| 18 | import java.util.stream.Collectors; |
| 19 | |
| 20 | @Slf4j |
| 21 | @Service |
| 22 | @RequiredArgsConstructor |
| 23 | public class RAGService { |
| 24 | |
| 25 | private final EmbeddingService embeddingService; |
| 26 | private final DocumentSplitter documentSplitter; |
| 27 | private final ModelRouter modelRouter; |
| 28 | |
| 29 | // 可选依赖,使用 @Autowired(required = false) 或通过构造器处理 |
| 30 | private final Optional<MilvusVectorStore> milvusVectorStore; |
| 31 | |
| 32 | /** |
| 33 | * 索引简历文档到 Milvus |
| 34 | */ |
| 35 | public void indexResume(String resumeId, String content, Map<String, Object> metadata) { |
| 36 | if (milvusVectorStore.isEmpty()) { |
| 37 | log.warn("Milvus is not available, skipping resume indexing"); |
| 38 | return; |
| 39 | } |
| 40 | |
| 41 | try { |
| 42 | // 分块 |
| 43 | List<DocumentChunk> chunks = documentSplitter.split(resumeId, content, metadata); |
| 44 | |
| 45 | // 向量化并存储 |
| 46 | List<VectorDocument> documents = new ArrayList<>(); |
| 47 | for (DocumentChunk chunk : chunks) { |
| 48 | float[] embedding = embeddingService.embed(chunk.getContent()); |
| 49 | |
| 50 | VectorDocument doc = VectorDocument.builder() |
| 51 | .id(chunk.getId()) |
| 52 | .content(chunk.getContent()) |
| 53 | .embedding(embedding) |
| 54 | .metadata(chunk.getMetadata()) |
| 55 | .build(); |
| 56 | |
| 57 | documents.add(doc); |
| 58 | } |
| 59 | |
| 60 | milvusVectorStore.get().addDocuments(documents); |
| 61 | log.info("Indexed resume {} with {} chunks to Milvus", resumeId, chunks.size()); |
| 62 | |
| 63 | } catch (Exception e) { |
| 64 | log.error("Failed to index resume: {}", e.getMessage(), e); |
| 65 | throw new RuntimeException("Failed to index resume", e); |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | |
| 70 | |
| 71 | } |
nothing calls this directly
no outgoing calls
no test coverage detected