fix: Diagnose and fix RAG system query failures#160
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sjsh-jason wants to merge 4 commits intohttps-deeplearning-ai:mainfrom
Open
fix: Diagnose and fix RAG system query failures#160sjsh-jason wants to merge 4 commits intohttps-deeplearning-ai:mainfrom
sjsh-jason wants to merge 4 commits intohttps-deeplearning-ai:mainfrom
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- Fixed empty vector store issue by auto-loading courses on startup - Added comprehensive diagnostic tests and reports - Improved error handling and logging - Added test suite for RAG components Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
- Add language detection to identify Chinese vs English queries - Store language preference per session for consistency - Add Chinese system prompt for Claude API - Automatically respond in the detected language Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
… selection Implement frontend language selector button in top-left corner with Chinese/English toggle. Add i18n.js with complete translations for all UI elements. Update backend API to support user-selected language preference with priority: user selection > session language > auto-detection. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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Summary
Changes
backend/app.pyto auto-load course documents during startupDIAGNOSTIC_REPORT.mdandFINAL_DIAGNOSTIC_SUMMARY.mdbackend/tests/with:test_search_tools.py- Tests for CourseSearchTooltest_ai_generator.py- Tests for AIGeneratortest_rag_system.py- Tests for RAGSystemrun_diagnostics.py- Integration diagnostic scripttest_query_flow.py- Query flow analysisTest plan
/api/coursesendpoint returns course list/api/queryendpoint returns responsesRoot Cause Analysis
The "query failed" error was caused by an empty vector store. The
startup_event()function was skipping document loading, so no course data was available for the search tool to find.🤖 Generated with Claude Code