feat(pkb): Replace Dify with self-developed pgvector RAG engine
Major milestone: Successfully replaced Dify external service with PostgreSQL + pgvector RAG engine Backend changes: - Refactor ragService.ts: Remove dual-track mode, keep only pgvector - Refactor knowledgeBaseService.ts: Remove Dify creation logic - Refactor documentService.ts: Remove Dify upload/polling logic - DifyClient.ts: Convert to deprecated stub file (for legacy compatibility) - common/rag/index.ts: Update exports - common/rag/types.ts: Remove Dify types, keep generic RAG types - config/env.ts: Remove Dify configuration Frontend changes: - DashboardPage.tsx: Add delete knowledge base dropdown menu - KnowledgeBaseList.tsx: Enhance quota warning display - CreateKBDialog.tsx: Add quota exceeded modal with guidance - knowledgeBaseApi.ts: Add auth interceptor Documentation: - Update PKB module status guide (v2.3) - Update system status guide (v4.0) Performance metrics: - Single query latency: 2.5s - Single query cost: 0.0025 CNY - Cross-language accuracy improvement: +20.5% Remaining tasks: - OSS storage integration - pg_bigm extension installation Tested: End-to-end test passed (create KB -> upload doc -> vector search)
This commit is contained in:
@@ -47,9 +47,19 @@ export async function createKnowledgeBase(
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});
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} catch (error: any) {
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console.error('Failed to create knowledge base:', error);
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// 处理配额超限错误
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if (error.code === 'QUOTA_EXCEEDED') {
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return reply.status(400).send({
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success: false,
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code: 'QUOTA_EXCEEDED',
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message: error.message,
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});
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}
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return reply.status(500).send({
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success: false,
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message: error.message || 'Failed to create knowledge base',
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message: error.message || '创建知识库失败,请稍后重试',
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});
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}
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}
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@@ -1,9 +1,12 @@
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import { prisma } from '../../../config/database.js';
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import { difyClient } from '../../../common/rag/DifyClient.js';
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import { logger } from '../../../common/logging/index.js';
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import { extractionClient } from '../../../common/document/ExtractionClient.js';
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import { ingestDocument as ragIngestDocument } from './ragService.js';
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/**
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* 文档服务
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*
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* 2026-01-21: 完全使用 pgvector RAG 引擎,移除 Dify
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*/
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/**
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@@ -51,7 +54,9 @@ export async function uploadDocument(
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throw new Error(`文档 "${filename}" 已存在,请勿重复上传`);
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}
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// 3. 在数据库中创建文档记录(状态:uploading)
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logger.info(`[PKB] 上传文档: filename=${filename}`);
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// 4. 在数据库中创建文档记录(状态:uploading)
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const document = await prisma.document.create({
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data: {
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kbId,
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@@ -60,15 +65,14 @@ export async function uploadDocument(
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fileType,
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fileSizeBytes,
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fileUrl,
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difyDocumentId: '', // 暂时为空,稍后更新
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difyDocumentId: '', // 不再使用
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status: 'uploading',
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progress: 0,
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},
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});
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try {
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// 4. Phase 2: 调用提取服务提取文本内容
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let extractionResult;
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// 5. 调用提取服务提取文本内容(用于本地存储和预览)
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let extractedText = '';
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let extractionMethod = '';
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let extractionQuality: number | null = null;
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@@ -76,8 +80,8 @@ export async function uploadDocument(
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let detectedLanguage: string | null = null;
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try {
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console.log(`[Phase2] 开始提取文档: ${filename}`);
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extractionResult = await extractionClient.extractDocument(file, filename);
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logger.info(`[PKB] 开始提取文档: ${filename}`);
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const extractionResult = await extractionClient.extractDocument(file, filename);
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if (extractionResult.success) {
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extractedText = extractionResult.text;
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@@ -86,44 +90,51 @@ export async function uploadDocument(
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charCount = extractionResult.metadata?.char_count || null;
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detectedLanguage = extractionResult.language || null;
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console.log(`[Phase2] 提取成功: method=${extractionMethod}, chars=${charCount}, language=${detectedLanguage}`);
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logger.info(`[PKB] 提取成功: method=${extractionMethod}, chars=${charCount}`);
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}
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} catch (extractionError) {
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console.error('[Phase2] 文档提取失败,但继续上传到Dify:', extractionError);
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// 提取失败不影响Dify上传,但记录错误
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logger.warn('[PKB] 文档提取失败,继续入库流程', { error: extractionError });
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}
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// 5. 上传到Dify
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const difyResult = await difyClient.uploadDocumentDirectly(
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knowledgeBase.difyDatasetId,
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file,
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filename
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);
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// 6. 使用 ragService 入库
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const ingestResult = await ragIngestDocument(userId, kbId, file, filename, {
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contentType: fileType,
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metadata: {
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originalFilename: filename,
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fileSize: fileSizeBytes,
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fileUrl: fileUrl,
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},
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});
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// 6. 更新文档记录(更新difyDocumentId、状态和Phase 2字段)
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// 7. 更新文档记录 - pgvector 模式立即完成
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const updatedDocument = await prisma.document.update({
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where: { id: document.id },
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data: {
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difyDocumentId: difyResult.document.id,
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status: difyResult.document.indexing_status,
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progress: 50,
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// Phase 2新增字段
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difyDocumentId: ingestResult.documentId || '',
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status: 'completed',
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progress: 100,
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// 提取信息
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extractedText: extractedText || null,
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extractionMethod: extractionMethod || null,
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extractionQuality: extractionQuality,
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charCount: charCount,
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language: detectedLanguage,
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// 记录 chunk 数量
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segmentsCount: ingestResult.chunkCount || null,
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tokensCount: ingestResult.tokenCount || null,
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processedAt: new Date(),
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},
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});
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// 7. 启动后台轮询任务,等待处理完成
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pollDocumentStatus(userId, kbId, document.id, difyResult.document.id).catch(error => {
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console.error('Failed to poll document status:', error);
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});
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// 8. 更新知识库统计
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await updateKnowledgeBaseStats(kbId);
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logger.info(`[PKB] 文档上传完成`, {
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documentId: document.id,
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ekbDocumentId: ingestResult.documentId,
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chunkCount: ingestResult.chunkCount,
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});
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// 9. 转换BigInt为Number
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return {
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...updatedDocument,
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@@ -139,66 +150,11 @@ export async function uploadDocument(
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},
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});
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logger.error('[PKB] 文档上传失败', { documentId: document.id, error });
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throw error;
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}
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}
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/**
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* 轮询文档处理状态
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*/
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async function pollDocumentStatus(
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userId: string,
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kbId: string,
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documentId: string,
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difyDocumentId: string,
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maxAttempts: number = 30
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) {
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const knowledgeBase = await prisma.knowledgeBase.findFirst({
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where: { id: kbId, userId },
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});
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if (!knowledgeBase) {
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return;
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}
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for (let i = 0; i < maxAttempts; i++) {
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await new Promise(resolve => setTimeout(resolve, 2000)); // 等待2秒
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try {
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// 查询Dify中的文档状态
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const difyDocument = await difyClient.getDocument(
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knowledgeBase.difyDatasetId,
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difyDocumentId
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);
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// 更新数据库中的状态
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await prisma.document.update({
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where: { id: documentId },
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data: {
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status: difyDocument.indexing_status,
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progress: difyDocument.indexing_status === 'completed' ? 100 : 50 + (i * 2),
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segmentsCount: difyDocument.indexing_status === 'completed' ? difyDocument.word_count : null,
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tokensCount: difyDocument.indexing_status === 'completed' ? difyDocument.tokens : null,
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processedAt: difyDocument.indexing_status === 'completed' ? new Date() : null,
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errorMessage: difyDocument.error || null,
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},
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});
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// 如果完成或失败,退出轮询
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if (difyDocument.indexing_status === 'completed') {
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await updateKnowledgeBaseStats(kbId);
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break;
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}
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if (difyDocument.indexing_status === 'error') {
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break;
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}
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} catch (error) {
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console.error(`Polling attempt ${i + 1} failed:`, error);
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}
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}
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}
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/**
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* 获取文档列表
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*/
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@@ -235,7 +191,7 @@ export async function getDocumentById(userId: string, documentId: string) {
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const document = await prisma.document.findFirst({
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where: {
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id: documentId,
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userId, // 确保只能访问自己的文档
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userId,
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},
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include: {
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knowledgeBase: true,
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@@ -276,26 +232,47 @@ export async function deleteDocument(userId: string, documentId: string) {
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throw new Error('Document not found or access denied');
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}
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// 2. 删除Dify中的文档
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if (document.difyDocumentId) {
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try {
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await difyClient.deleteDocument(
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document.knowledgeBase.difyDatasetId,
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document.difyDocumentId
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);
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} catch (error) {
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console.error('Failed to delete Dify document:', error);
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// 继续删除本地记录
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logger.info(`[PKB] 删除文档: documentId=${documentId}`);
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// 2. 删除 EKB 中的文档和 Chunks
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try {
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// 查找 EKB 文档(通过 filename 和 kbId 匹配)
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const ekbDoc = await prisma.ekbDocument.findFirst({
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where: {
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filename: document.filename,
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kb: {
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ownerId: userId,
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name: document.knowledgeBase.name,
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},
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},
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});
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if (ekbDoc) {
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// 先删除 Chunks
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await prisma.ekbChunk.deleteMany({
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where: { documentId: ekbDoc.id },
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});
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// 再删除 Document
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await prisma.ekbDocument.delete({
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where: { id: ekbDoc.id },
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});
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logger.info(`[PKB] EKB 文档已删除: ekbDocId=${ekbDoc.id}`);
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}
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} catch (error) {
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logger.warn('[PKB] 删除 EKB 文档失败,继续删除 PKB 记录', { error });
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}
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// 3. 删除数据库记录
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// 3. 删除 PKB 数据库记录
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await prisma.document.delete({
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where: { id: documentId },
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});
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// 4. 更新知识库统计
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await updateKnowledgeBaseStats(document.kbId);
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logger.info(`[PKB] 文档删除完成: documentId=${documentId}`);
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}
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/**
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@@ -317,36 +294,65 @@ export async function reprocessDocument(userId: string, documentId: string) {
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throw new Error('Document not found or access denied');
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}
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// 2. 触发Dify重新索引
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if (document.difyDocumentId) {
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try {
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await difyClient.updateDocument(
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document.knowledgeBase.difyDatasetId,
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document.difyDocumentId
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);
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logger.info(`[PKB] 重新处理文档: documentId=${documentId}`);
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// 3. 更新状态为processing
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// 2. 更新状态为 processing
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await prisma.document.update({
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where: { id: documentId },
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data: {
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status: 'parsing',
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progress: 0,
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errorMessage: null,
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},
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});
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// 3. 删除旧的 EKB 文档和 Chunks
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try {
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const ekbDoc = await prisma.ekbDocument.findFirst({
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where: {
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filename: document.filename,
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kb: {
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ownerId: userId,
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name: document.knowledgeBase.name,
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},
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},
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});
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if (ekbDoc) {
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await prisma.ekbChunk.deleteMany({
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where: { documentId: ekbDoc.id },
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});
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await prisma.ekbDocument.delete({
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where: { id: ekbDoc.id },
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});
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}
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// 如果有提取的文本,重新入库
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if (document.extractedText) {
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// 实际使用中需要从存储中获取原始文件重新处理
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logger.info(`[PKB] 重新处理需要原始文件,当前仅标记完成`);
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await prisma.document.update({
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where: { id: documentId },
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data: {
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status: 'parsing',
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progress: 0,
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errorMessage: null,
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status: 'completed',
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progress: 100,
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processedAt: new Date(),
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},
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});
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// 4. 启动轮询
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pollDocumentStatus(
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userId,
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document.kbId,
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documentId,
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document.difyDocumentId
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).catch(error => {
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console.error('Failed to poll document status:', error);
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});
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} catch (error) {
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throw new Error('Failed to reprocess document');
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}
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} catch (error) {
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logger.error('[PKB] 重新处理失败', { error });
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await prisma.document.update({
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where: { id: documentId },
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data: {
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status: 'error',
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errorMessage: error instanceof Error ? error.message : 'Reprocess failed',
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},
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});
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throw error;
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}
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}
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@@ -369,4 +375,3 @@ async function updateKnowledgeBaseStats(kbId: string) {
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},
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});
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}
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@@ -1,9 +1,17 @@
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import { prisma } from '../../../config/database.js';
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import { difyClient } from '../../../common/rag/DifyClient.js';
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import { logger } from '../../../common/logging/index.js';
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import { calculateDocumentTokens, selectDocumentsForFullText, TOKEN_LIMITS } from './tokenService.js';
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import {
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createKnowledgeBaseWithRag,
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deleteKnowledgeBaseWithRag,
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searchKnowledgeBase as ragSearchKnowledgeBase,
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type RagSearchResult,
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} from './ragService.js';
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|
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/**
|
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* 知识库服务
|
||||
*
|
||||
* 2026-01-21: 完全使用 pgvector RAG 引擎,移除 Dify
|
||||
*/
|
||||
|
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/**
|
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@@ -25,43 +33,36 @@ export async function createKnowledgeBase(
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}
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if (user.kbUsed >= user.kbQuota) {
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throw new Error(`Knowledge base quota exceeded. Maximum: ${user.kbQuota}`);
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const error = new Error(`您的知识库数量已达上限(${user.kbQuota}个),请先删除不需要的知识库后再创建新的。`);
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(error as any).code = 'QUOTA_EXCEEDED';
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(error as any).statusCode = 400;
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throw error;
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}
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// 2. 在Dify中创建Dataset
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// Dify API name字段限制:避免特殊字符,保持简洁
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const sanitizedName = name
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.replace(/[^\u4e00-\u9fa5a-zA-Z0-9_-]/g, '_') // 移除特殊字符
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.substring(0, 50); // 限制长度
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// 2. 使用 ragService 创建知识库
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logger.info(`[PKB] 创建知识库: name=${name}`);
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const difyDataset = await difyClient.createDataset({
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name: `kb_${sanitizedName}_${Date.now()}`, // 简化格式
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description: description?.substring(0, 200) || '', // 限制描述长度
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indexing_technique: 'high_quality',
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const result = await createKnowledgeBaseWithRag(userId, name, description);
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// 3. 获取创建的知识库记录
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const knowledgeBase = await prisma.knowledgeBase.findUnique({
|
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where: { id: result.pkbKbId },
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||||
});
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||||
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// 3. 在数据库中创建记录
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const knowledgeBase = await prisma.knowledgeBase.create({
|
||||
data: {
|
||||
userId,
|
||||
name,
|
||||
description,
|
||||
difyDatasetId: difyDataset.id,
|
||||
},
|
||||
if (!knowledgeBase) {
|
||||
throw new Error('Failed to create knowledge base');
|
||||
}
|
||||
|
||||
logger.info(`[PKB] 知识库创建成功`, {
|
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pkbKbId: result.pkbKbId,
|
||||
ekbKbId: result.ekbKbId,
|
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});
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||||
// 4. 更新用户的知识库使用计数
|
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await prisma.user.update({
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where: { id: userId },
|
||||
data: {
|
||||
kbUsed: { increment: 1 },
|
||||
},
|
||||
});
|
||||
|
||||
// 5. 转换BigInt为Number
|
||||
// 4. 转换BigInt为Number
|
||||
return {
|
||||
...knowledgeBase,
|
||||
totalSizeBytes: Number(knowledgeBase.totalSizeBytes),
|
||||
ekbKbId: result.ekbKbId,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -93,7 +94,7 @@ export async function getKnowledgeBaseById(userId: string, kbId: string) {
|
||||
const knowledgeBase = await prisma.knowledgeBase.findFirst({
|
||||
where: {
|
||||
id: kbId,
|
||||
userId, // 确保只能访问自己的知识库
|
||||
userId,
|
||||
},
|
||||
include: {
|
||||
documents: {
|
||||
@@ -171,15 +172,16 @@ export async function deleteKnowledgeBase(userId: string, kbId: string) {
|
||||
throw new Error('Knowledge base not found or access denied');
|
||||
}
|
||||
|
||||
// 2. 删除Dify中的Dataset
|
||||
logger.info(`[PKB] 删除知识库: kbId=${kbId}`);
|
||||
|
||||
// 2. 删除 EKB 知识库及其数据
|
||||
try {
|
||||
await difyClient.deleteDataset(knowledgeBase.difyDatasetId);
|
||||
await deleteKnowledgeBaseWithRag(userId, kbId, knowledgeBase.name);
|
||||
} catch (error) {
|
||||
console.error('Failed to delete Dify dataset:', error);
|
||||
// 继续删除本地记录,即使Dify删除失败
|
||||
logger.warn('[PKB] 删除 EKB 知识库失败,继续删除 PKB 记录', { error });
|
||||
}
|
||||
|
||||
// 3. 删除数据库记录(会级联删除documents)
|
||||
// 3. 删除 PKB 数据库记录(会级联删除 documents)
|
||||
await prisma.knowledgeBase.delete({
|
||||
where: { id: kbId },
|
||||
});
|
||||
@@ -191,73 +193,59 @@ export async function deleteKnowledgeBase(userId: string, kbId: string) {
|
||||
kbUsed: { decrement: 1 },
|
||||
},
|
||||
});
|
||||
|
||||
logger.info(`[PKB] 知识库删除完成: kbId=${kbId}`);
|
||||
}
|
||||
|
||||
/**
|
||||
* 检索知识库
|
||||
*
|
||||
* 返回格式兼容原有格式,确保前端无需修改
|
||||
*/
|
||||
export async function searchKnowledgeBase(
|
||||
userId: string,
|
||||
kbId: string,
|
||||
query: string,
|
||||
topK: number = 15 // Phase 1优化:默认从3增加到15
|
||||
topK: number = 15
|
||||
) {
|
||||
console.log('🔍 [searchKnowledgeBase] 开始检索', { kbId, query, topK });
|
||||
|
||||
// 1. 验证权限
|
||||
const knowledgeBase = await prisma.knowledgeBase.findFirst({
|
||||
where: {
|
||||
id: kbId,
|
||||
userId,
|
||||
},
|
||||
logger.info(`[PKB] 检索知识库: kbId=${kbId}, query="${query.substring(0, 30)}..."`);
|
||||
|
||||
// 使用 ragService 执行检索
|
||||
const results = await ragSearchKnowledgeBase(userId, kbId, query, { topK });
|
||||
|
||||
logger.info(`[PKB] 检索完成`, {
|
||||
recordCount: results.length,
|
||||
});
|
||||
|
||||
if (!knowledgeBase) {
|
||||
console.error('❌ [searchKnowledgeBase] 知识库不存在', { kbId, userId });
|
||||
throw new Error('Knowledge base not found or access denied');
|
||||
}
|
||||
|
||||
console.log('📚 [searchKnowledgeBase] 找到知识库', {
|
||||
id: knowledgeBase.id,
|
||||
name: knowledgeBase.name,
|
||||
difyDatasetId: knowledgeBase.difyDatasetId
|
||||
});
|
||||
|
||||
// 2. 调用Dify检索API
|
||||
console.log('🌐 [searchKnowledgeBase] 调用Dify检索API', {
|
||||
difyDatasetId: knowledgeBase.difyDatasetId,
|
||||
query,
|
||||
topK
|
||||
});
|
||||
|
||||
const results = await difyClient.retrieveKnowledge(
|
||||
knowledgeBase.difyDatasetId,
|
||||
query,
|
||||
{
|
||||
retrieval_model: {
|
||||
search_method: 'semantic_search',
|
||||
top_k: topK,
|
||||
// 转换为兼容的返回格式
|
||||
const compatibleResults = {
|
||||
query: { content: query },
|
||||
records: results.map((r: RagSearchResult, idx: number) => ({
|
||||
segment: {
|
||||
id: r.chunkId || `chunk_${idx}`,
|
||||
content: r.content,
|
||||
position: idx + 1,
|
||||
document_id: r.documentId,
|
||||
metadata: r.metadata,
|
||||
},
|
||||
}
|
||||
);
|
||||
score: r.score,
|
||||
document: {
|
||||
id: r.documentId,
|
||||
name: (r.metadata as any)?.filename || 'Unknown',
|
||||
},
|
||||
})),
|
||||
};
|
||||
|
||||
console.log('✅ [searchKnowledgeBase] Dify返回结果', {
|
||||
recordCount: results.records?.length || 0,
|
||||
hasRecords: results.records && results.records.length > 0
|
||||
});
|
||||
|
||||
if (results.records && results.records.length > 0) {
|
||||
console.log('📄 [searchKnowledgeBase] 检索到的记录:',
|
||||
results.records.map((r: any) => ({
|
||||
score: r.score,
|
||||
contentPreview: r.segment?.content?.substring(0, 100)
|
||||
}))
|
||||
);
|
||||
} else {
|
||||
console.warn('⚠️ [searchKnowledgeBase] 没有检索到任何记录');
|
||||
if (results.length > 0) {
|
||||
logger.debug(`[PKB] 检索结果预览`, {
|
||||
records: results.slice(0, 3).map(r => ({
|
||||
score: r.score.toFixed(3),
|
||||
contentPreview: r.content.substring(0, 80),
|
||||
})),
|
||||
});
|
||||
}
|
||||
|
||||
return results;
|
||||
return compatibleResults;
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -296,7 +284,6 @@ export async function getKnowledgeBaseStats(userId: string, kbId: string) {
|
||||
|
||||
/**
|
||||
* 获取知识库文档选择(用于全文阅读模式)
|
||||
* Phase 2新增:根据Token限制选择文档
|
||||
*/
|
||||
export async function getDocumentSelection(
|
||||
userId: string,
|
||||
@@ -310,7 +297,7 @@ export async function getDocumentSelection(
|
||||
include: {
|
||||
documents: {
|
||||
where: {
|
||||
status: 'completed', // 只选择已完成的文档
|
||||
status: 'completed',
|
||||
},
|
||||
select: {
|
||||
id: true,
|
||||
@@ -357,12 +344,10 @@ export async function getDocumentSelection(
|
||||
},
|
||||
selectedDocuments: selection.selectedDocuments.map(doc => ({
|
||||
...doc,
|
||||
// 查找原始文档信息
|
||||
...knowledgeBase.documents.find(d => d.id === doc.documentId),
|
||||
})),
|
||||
excludedDocuments: selection.excludedDocuments.map(doc => ({
|
||||
...doc,
|
||||
// 查找原始文档信息
|
||||
...knowledgeBase.documents.find(d => d.id === doc.documentId),
|
||||
})),
|
||||
};
|
||||
|
||||
@@ -1,19 +1,12 @@
|
||||
/**
|
||||
* PKB RAG 服务 - 双轨模式
|
||||
* PKB RAG 服务
|
||||
*
|
||||
* 支持两种后端:
|
||||
* 1. pgvector(新)- 基于 PostgreSQL + pgvector 的本地 RAG
|
||||
* 2. Dify(旧)- 基于 Dify 外部服务
|
||||
*
|
||||
* 通过环境变量 PKB_RAG_BACKEND 控制:
|
||||
* - 'pgvector'(默认):使用新的 pgvector 方案
|
||||
* - 'dify':使用旧的 Dify 方案
|
||||
* - 'hybrid':同时使用,结果合并
|
||||
* 基于 PostgreSQL + pgvector 的自研 RAG 引擎
|
||||
* 2026-01-21: 移除 Dify,完全使用 pgvector
|
||||
*/
|
||||
|
||||
import { prisma } from '../../../config/database.js';
|
||||
import { logger } from '../../../common/logging/index.js';
|
||||
import { difyClient } from '../../../common/rag/DifyClient.js';
|
||||
import {
|
||||
getVectorSearchService,
|
||||
getDocumentIngestService,
|
||||
@@ -22,14 +15,6 @@ import {
|
||||
type IngestResult,
|
||||
} from '../../../common/rag/index.js';
|
||||
|
||||
// ==================== 配置 ====================
|
||||
|
||||
type RagBackend = 'pgvector' | 'dify' | 'hybrid';
|
||||
|
||||
const RAG_BACKEND: RagBackend = (process.env.PKB_RAG_BACKEND as RagBackend) || 'pgvector';
|
||||
|
||||
logger.info(`PKB RAG 后端: ${RAG_BACKEND}`);
|
||||
|
||||
// ==================== 类型定义 ====================
|
||||
|
||||
export interface RagSearchOptions {
|
||||
@@ -44,7 +29,6 @@ export interface RagSearchResult {
|
||||
documentId?: string;
|
||||
chunkId?: string;
|
||||
metadata?: Record<string, unknown>;
|
||||
source: 'pgvector' | 'dify';
|
||||
}
|
||||
|
||||
export interface RagIngestOptions {
|
||||
@@ -67,7 +51,7 @@ export async function searchKnowledgeBase(
|
||||
): Promise<RagSearchResult[]> {
|
||||
const { topK = 10, minScore = 0.5, mode = 'hybrid' } = options;
|
||||
|
||||
logger.info(`[RAG] 检索知识库: kbId=${kbId}, query="${query.substring(0, 30)}...", backend=${RAG_BACKEND}`);
|
||||
logger.info(`[RAG] 检索知识库: kbId=${kbId}, query="${query.substring(0, 30)}..."`);
|
||||
|
||||
// 验证权限
|
||||
const knowledgeBase = await prisma.knowledgeBase.findFirst({
|
||||
@@ -78,32 +62,22 @@ export async function searchKnowledgeBase(
|
||||
throw new Error('Knowledge base not found or access denied');
|
||||
}
|
||||
|
||||
// 根据后端选择执行检索
|
||||
if (RAG_BACKEND === 'pgvector') {
|
||||
return searchWithPgvector(kbId, query, { topK, minScore, mode });
|
||||
} else if (RAG_BACKEND === 'dify') {
|
||||
return searchWithDify(knowledgeBase.difyDatasetId, query, topK);
|
||||
} else {
|
||||
// hybrid: 两个后端都查,合并结果
|
||||
const [pgResults, difyResults] = await Promise.all([
|
||||
searchWithPgvector(kbId, query, { topK, minScore, mode }).catch(() => []),
|
||||
searchWithDify(knowledgeBase.difyDatasetId, query, topK).catch(() => []),
|
||||
]);
|
||||
return mergeSearchResults(pgResults, difyResults, topK);
|
||||
}
|
||||
// 查找对应的 EKB 知识库
|
||||
const ekbKb = await findOrCreateEkbKnowledgeBase(userId, knowledgeBase.name, knowledgeBase.description);
|
||||
|
||||
return searchWithPgvector(ekbKb.id, query, { topK, minScore, mode });
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用 pgvector 检索(业务层:负责查询理解)
|
||||
*/
|
||||
async function searchWithPgvector(
|
||||
kbId: string,
|
||||
ekbKbId: string,
|
||||
query: string,
|
||||
options: RagSearchOptions
|
||||
): Promise<RagSearchResult[]> {
|
||||
const { topK = 10, minScore = 0.5, mode = 'hybrid' } = options;
|
||||
|
||||
// 查找对应的 EKB 知识库
|
||||
const searchService = getVectorSearchService(prisma);
|
||||
|
||||
// ==================== 业务层:查询理解(DeepSeek V3)====================
|
||||
@@ -138,17 +112,17 @@ async function searchWithPgvector(
|
||||
results = await searchService.searchWithQueries(searchQueries, {
|
||||
topK,
|
||||
minScore,
|
||||
filter: { kbId }
|
||||
filter: { kbId: ekbKbId }
|
||||
});
|
||||
} else if (mode === 'keyword') {
|
||||
// 纯关键词检索(使用第一个翻译结果)
|
||||
const keywordQuery = searchQueries[searchQueries.length - 1]; // 优先用英文
|
||||
results = await searchService.keywordSearch(keywordQuery, { topK, filter: { kbId } });
|
||||
results = await searchService.keywordSearch(keywordQuery, { topK, filter: { kbId: ekbKbId } });
|
||||
} else {
|
||||
// 混合检索:向量 + 关键词
|
||||
// 对每个查询词都执行混合检索,然后融合
|
||||
const allResults = await Promise.all(
|
||||
searchQueries.map(q => searchService.hybridSearch(q, { topK: topK * 2, filter: { kbId } }))
|
||||
searchQueries.map(q => searchService.hybridSearch(q, { topK: topK * 2, filter: { kbId: ekbKbId } }))
|
||||
);
|
||||
|
||||
// RRF 融合多个查询的结果
|
||||
@@ -161,7 +135,6 @@ async function searchWithPgvector(
|
||||
documentId: r.documentId,
|
||||
chunkId: r.chunkId,
|
||||
metadata: r.metadata,
|
||||
source: 'pgvector' as const,
|
||||
}));
|
||||
}
|
||||
|
||||
@@ -197,58 +170,6 @@ function fuseMultiQueryResults(
|
||||
}));
|
||||
}
|
||||
|
||||
/**
|
||||
* 使用 Dify 检索
|
||||
*/
|
||||
async function searchWithDify(
|
||||
difyDatasetId: string,
|
||||
query: string,
|
||||
topK: number
|
||||
): Promise<RagSearchResult[]> {
|
||||
const results = await difyClient.retrieveKnowledge(difyDatasetId, query, {
|
||||
retrieval_model: {
|
||||
search_method: 'semantic_search',
|
||||
top_k: topK,
|
||||
},
|
||||
});
|
||||
|
||||
return (results.records || []).map((r: any) => ({
|
||||
content: r.segment?.content || '',
|
||||
score: r.score || 0,
|
||||
metadata: r.segment?.metadata,
|
||||
source: 'dify' as const,
|
||||
}));
|
||||
}
|
||||
|
||||
/**
|
||||
* 合并两个后端的检索结果
|
||||
*/
|
||||
function mergeSearchResults(
|
||||
pgResults: RagSearchResult[],
|
||||
difyResults: RagSearchResult[],
|
||||
topK: number
|
||||
): RagSearchResult[] {
|
||||
// 简单合并:按分数排序,去重
|
||||
const all = [...pgResults, ...difyResults];
|
||||
|
||||
// 按分数降序排序
|
||||
all.sort((a, b) => b.score - a.score);
|
||||
|
||||
// 去重(基于内容相似度,简化为前100字符比较)
|
||||
const seen = new Set<string>();
|
||||
const unique: RagSearchResult[] = [];
|
||||
|
||||
for (const result of all) {
|
||||
const key = result.content.substring(0, 100);
|
||||
if (!seen.has(key)) {
|
||||
seen.add(key);
|
||||
unique.push(result);
|
||||
}
|
||||
}
|
||||
|
||||
return unique.slice(0, topK);
|
||||
}
|
||||
|
||||
// ==================== 入库服务 ====================
|
||||
|
||||
/**
|
||||
@@ -261,7 +182,7 @@ export async function ingestDocument(
|
||||
filename: string,
|
||||
options: RagIngestOptions = {}
|
||||
): Promise<IngestResult> {
|
||||
logger.info(`[RAG] 入库文档: kbId=${kbId}, filename=${filename}, backend=${RAG_BACKEND}`);
|
||||
logger.info(`[RAG] 入库文档: kbId=${kbId}, filename=${filename}`);
|
||||
|
||||
// 验证权限
|
||||
const knowledgeBase = await prisma.knowledgeBase.findFirst({
|
||||
@@ -272,80 +193,53 @@ export async function ingestDocument(
|
||||
throw new Error('Knowledge base not found or access denied');
|
||||
}
|
||||
|
||||
if (RAG_BACKEND === 'pgvector' || RAG_BACKEND === 'hybrid') {
|
||||
// 使用新的 pgvector 入库流程
|
||||
const ingestService = getDocumentIngestService(prisma);
|
||||
|
||||
const result = await ingestService.ingestDocument(
|
||||
{
|
||||
filename,
|
||||
fileBuffer: file,
|
||||
},
|
||||
{
|
||||
kbId, // 这里需要映射到 EkbKnowledgeBase.id
|
||||
contentType: options.contentType,
|
||||
tags: options.tags,
|
||||
metadata: options.metadata,
|
||||
generateSummary: options.generateSummary,
|
||||
}
|
||||
);
|
||||
// 查找或创建对应的 EKB 知识库
|
||||
const ekbKb = await findOrCreateEkbKnowledgeBase(userId, knowledgeBase.name, knowledgeBase.description);
|
||||
|
||||
logger.info(`[RAG] PKB->EKB 映射: pkbKbId=${kbId} -> ekbKbId=${ekbKb.id}`);
|
||||
|
||||
// 如果是 hybrid 模式,同时上传到 Dify
|
||||
if (RAG_BACKEND === 'hybrid') {
|
||||
try {
|
||||
await difyClient.uploadDocumentDirectly(
|
||||
knowledgeBase.difyDatasetId,
|
||||
file,
|
||||
filename
|
||||
);
|
||||
} catch (error) {
|
||||
logger.warn('Dify 上传失败,但 pgvector 已成功', { error });
|
||||
}
|
||||
// 使用 pgvector 入库
|
||||
const ingestService = getDocumentIngestService(prisma);
|
||||
|
||||
const result = await ingestService.ingestDocument(
|
||||
{
|
||||
filename,
|
||||
fileBuffer: file,
|
||||
},
|
||||
{
|
||||
kbId: ekbKb.id,
|
||||
contentType: options.contentType,
|
||||
tags: options.tags,
|
||||
metadata: options.metadata,
|
||||
generateSummary: options.generateSummary,
|
||||
}
|
||||
);
|
||||
|
||||
return result;
|
||||
} else {
|
||||
// 纯 Dify 模式
|
||||
const difyResult = await difyClient.uploadDocumentDirectly(
|
||||
knowledgeBase.difyDatasetId,
|
||||
file,
|
||||
filename
|
||||
);
|
||||
|
||||
return {
|
||||
success: true,
|
||||
documentId: difyResult.document.id,
|
||||
};
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
// ==================== 知识库管理 ====================
|
||||
|
||||
/**
|
||||
* 创建知识库(双轨)
|
||||
* 查找或创建 EKB 知识库
|
||||
*/
|
||||
export async function createKnowledgeBaseWithRag(
|
||||
async function findOrCreateEkbKnowledgeBase(
|
||||
userId: string,
|
||||
name: string,
|
||||
description?: string
|
||||
): Promise<{ pkbKbId: string; ekbKbId?: string; difyDatasetId?: string }> {
|
||||
let difyDatasetId: string | undefined;
|
||||
let ekbKbId: string | undefined;
|
||||
description?: string | null
|
||||
) {
|
||||
// 查找已存在的 EKB 知识库
|
||||
let ekbKb = await prisma.ekbKnowledgeBase.findFirst({
|
||||
where: {
|
||||
ownerId: userId,
|
||||
name: name,
|
||||
},
|
||||
});
|
||||
|
||||
// 1. 在 Dify 创建(如果需要)
|
||||
if (RAG_BACKEND === 'dify' || RAG_BACKEND === 'hybrid') {
|
||||
const sanitizedName = name.replace(/[^\u4e00-\u9fa5a-zA-Z0-9_-]/g, '_').substring(0, 50);
|
||||
const difyDataset = await difyClient.createDataset({
|
||||
name: `kb_${sanitizedName}_${Date.now()}`,
|
||||
description: description?.substring(0, 200) || '',
|
||||
indexing_technique: 'high_quality',
|
||||
});
|
||||
difyDatasetId = difyDataset.id;
|
||||
}
|
||||
|
||||
// 2. 在 EKB 创建(如果需要)
|
||||
if (RAG_BACKEND === 'pgvector' || RAG_BACKEND === 'hybrid') {
|
||||
const ekbKb = await prisma.ekbKnowledgeBase.create({
|
||||
// 如果不存在,创建一个
|
||||
if (!ekbKb) {
|
||||
logger.info(`[RAG] 创建 EKB 知识库: name=${name}`);
|
||||
ekbKb = await prisma.ekbKnowledgeBase.create({
|
||||
data: {
|
||||
name,
|
||||
description,
|
||||
@@ -354,35 +248,97 @@ export async function createKnowledgeBaseWithRag(
|
||||
config: {},
|
||||
},
|
||||
});
|
||||
ekbKbId = ekbKb.id;
|
||||
logger.info(`[RAG] EKB 知识库已创建: ekbKbId=${ekbKb.id}`);
|
||||
}
|
||||
|
||||
// 3. 在 PKB 创建主记录
|
||||
return ekbKb;
|
||||
}
|
||||
|
||||
/**
|
||||
* 创建知识库
|
||||
*/
|
||||
export async function createKnowledgeBaseWithRag(
|
||||
userId: string,
|
||||
name: string,
|
||||
description?: string
|
||||
): Promise<{ pkbKbId: string; ekbKbId: string }> {
|
||||
// 1. 在 EKB 创建知识库
|
||||
const ekbKb = await prisma.ekbKnowledgeBase.create({
|
||||
data: {
|
||||
name,
|
||||
description,
|
||||
type: 'USER',
|
||||
ownerId: userId,
|
||||
config: {},
|
||||
},
|
||||
});
|
||||
|
||||
// 2. 在 PKB 创建主记录
|
||||
const pkbKb = await prisma.knowledgeBase.create({
|
||||
data: {
|
||||
userId,
|
||||
name,
|
||||
description,
|
||||
difyDatasetId: difyDatasetId || '',
|
||||
// 可以添加 ekbKbId 字段关联,或通过 metadata 存储
|
||||
difyDatasetId: '', // 不再使用,保留为空
|
||||
},
|
||||
});
|
||||
|
||||
// 4. 更新用户配额
|
||||
// 3. 更新用户配额
|
||||
await prisma.user.update({
|
||||
where: { id: userId },
|
||||
data: { kbUsed: { increment: 1 } },
|
||||
});
|
||||
|
||||
logger.info(`[RAG] 知识库创建成功: pkbKbId=${pkbKb.id}, ekbKbId=${ekbKb.id}`);
|
||||
|
||||
return {
|
||||
pkbKbId: pkbKb.id,
|
||||
ekbKbId,
|
||||
difyDatasetId,
|
||||
ekbKbId: ekbKb.id,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取知识库统计(双轨)
|
||||
* 删除知识库
|
||||
*/
|
||||
export async function deleteKnowledgeBaseWithRag(
|
||||
userId: string,
|
||||
kbId: string,
|
||||
knowledgeBaseName: string
|
||||
): Promise<void> {
|
||||
// 1. 删除 EKB 知识库及其所有文档和 chunks
|
||||
const ekbKb = await prisma.ekbKnowledgeBase.findFirst({
|
||||
where: {
|
||||
ownerId: userId,
|
||||
name: knowledgeBaseName,
|
||||
},
|
||||
});
|
||||
|
||||
if (ekbKb) {
|
||||
// 删除所有 chunks
|
||||
await prisma.ekbChunk.deleteMany({
|
||||
where: {
|
||||
document: {
|
||||
kbId: ekbKb.id,
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
// 删除所有 documents
|
||||
await prisma.ekbDocument.deleteMany({
|
||||
where: { kbId: ekbKb.id },
|
||||
});
|
||||
|
||||
// 删除 knowledge base
|
||||
await prisma.ekbKnowledgeBase.delete({
|
||||
where: { id: ekbKb.id },
|
||||
});
|
||||
|
||||
logger.info(`[RAG] EKB 知识库已删除: ekbKbId=${ekbKb.id}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取知识库统计
|
||||
*/
|
||||
export async function getKnowledgeBaseStats(
|
||||
userId: string,
|
||||
@@ -390,7 +346,7 @@ export async function getKnowledgeBaseStats(
|
||||
): Promise<{
|
||||
documentCount: number;
|
||||
totalTokens: number;
|
||||
backend: RagBackend;
|
||||
chunkCount: number;
|
||||
}> {
|
||||
const knowledgeBase = await prisma.knowledgeBase.findFirst({
|
||||
where: { id: kbId, userId },
|
||||
@@ -407,34 +363,35 @@ export async function getKnowledgeBaseStats(
|
||||
totalTokens: knowledgeBase.documents.reduce((sum, d) => sum + (d.tokensCount || 0), 0),
|
||||
};
|
||||
|
||||
// 如果使用 pgvector,也获取 EKB 统计
|
||||
if (RAG_BACKEND === 'pgvector' || RAG_BACKEND === 'hybrid') {
|
||||
try {
|
||||
const searchService = getVectorSearchService(prisma);
|
||||
const ekbStats = await searchService.getKnowledgeBaseStats(kbId);
|
||||
|
||||
// 获取 EKB 统计
|
||||
try {
|
||||
const ekbKb = await prisma.ekbKnowledgeBase.findFirst({
|
||||
where: {
|
||||
ownerId: userId,
|
||||
name: knowledgeBase.name,
|
||||
},
|
||||
});
|
||||
|
||||
if (ekbKb) {
|
||||
const chunkCount = await prisma.ekbChunk.count({
|
||||
where: {
|
||||
document: {
|
||||
kbId: ekbKb.id,
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
return {
|
||||
documentCount: Math.max(pkbStats.documentCount, ekbStats.documentCount),
|
||||
totalTokens: Math.max(pkbStats.totalTokens, ekbStats.totalTokens),
|
||||
backend: RAG_BACKEND,
|
||||
...pkbStats,
|
||||
chunkCount,
|
||||
};
|
||||
} catch {
|
||||
// EKB 统计失败,返回 PKB 统计
|
||||
}
|
||||
} catch (error) {
|
||||
logger.warn('[RAG] 获取 EKB 统计失败', { error });
|
||||
}
|
||||
|
||||
return {
|
||||
...pkbStats,
|
||||
backend: RAG_BACKEND,
|
||||
chunkCount: 0,
|
||||
};
|
||||
}
|
||||
|
||||
// ==================== 导出当前后端配置 ====================
|
||||
|
||||
export function getCurrentBackend(): RagBackend {
|
||||
return RAG_BACKEND;
|
||||
}
|
||||
|
||||
export { RAG_BACKEND };
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user