HaHafeng
40c2f8e148
Major Features: - Created ekb_schema (13th schema) with 3 tables: KB/Document/Chunk - Implemented EmbeddingService (text-embedding-v4, 1024-dim vectors) - Implemented ChunkService (smart Markdown chunking) - Implemented VectorSearchService (multi-query + hybrid search) - Implemented RerankService (qwen3-rerank) - Integrated DeepSeek V3 QueryRewriter for cross-language search - Python service: Added pymupdf4llm for PDF-to-Markdown conversion - PKB: Dual-mode adapter (pgvector/dify/hybrid) Architecture: - Brain-Hand Model: Business layer (DeepSeek) + Engine layer (pgvector) - Cross-language support: Chinese query matches English documents - Small Embedding (1024) + Strong Reranker strategy Performance: - End-to-end latency: 2.5s - Cost per query: 0.0025 RMB - Accuracy improvement: +20.5% (cross-language) Tests: - test-embedding-service.ts: Vector embedding verified - test-rag-e2e.ts: Full pipeline tested - test-rerank.ts: Rerank quality validated - test-query-rewrite.ts: Cross-language search verified - test-pdf-ingest.ts: Real PDF document tested (Dongen 2003.pdf) Documentation: - Added 05-RAG-Engine-User-Guide.md - Added 02-Document-Processing-User-Guide.md - Updated system status documentation Status: Production ready
53 lines
578 B
PHP
53 lines
578 B
PHP
<?php
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/**
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* REDCap Admin密码重置脚本
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* 用途：重置Admin用户密码
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*/
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require_once '/var/www/html/redcap/redcap_connect.php';
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require_once APP_PATH_CLASSES . 'Authentication.php';
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$username = 'Admin';
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$new_password = 'Admin123!';
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echo "Resetting password for user: $username\n";
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$result = Authentication::setPassword($username, $new_password, true);
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if ($result) {
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echo "✅ Password reset successful!\n";
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echo "Username: Admin\n";
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echo "New Password: Admin123!\n";
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} else {
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echo "❌ Password reset failed!\n";
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}
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