HaHafeng
dfc472810b
Completed features: - Created Dify dataset (Dify_test0102) with 2 processed documents - Linked test0102 project with Dify dataset ID - Extended intent detection to recognize query_protocol intent - Implemented queryDifyKnowledge method (semantic search Top 5) - Integrated hybrid retrieval (REDCap data + Dify documents) - Fixed AI hallucination bugs (intent detection + API field path) - Developed debugging scripts - Completed end-to-end testing (5 scenarios passed) - Generated comprehensive documentation (600+ lines) - Updated development plans and module status Technical highlights: - Single project single knowledge base architecture - Smart routing based on user intent - Prevent AI hallucination by injecting real data/documents - Session memory for multi-turn conversations - Reused LLMFactory for DeepSeek-V3 integration Bug fixes: - Fixed intent detection missing keywords - Fixed Dify API response field path error Testing: All scenarios verified in WeChat production environment Status: Fully tested and deployed
44 lines
413 B
SQL
44 lines
413 B
SQL
-- AlterTable
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-- 添加 column_mapping 字段到 dc_tool_c_sessions 表
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-- 用于解决表头特殊字符问题
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ALTER TABLE "dc_schema"."dc_tool_c_sessions"
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ADD COLUMN IF NOT EXISTS "column_mapping" JSONB;
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-- 添加注释
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COMMENT ON COLUMN "dc_schema"."dc_tool_c_sessions"."column_mapping" IS '列名映射：[{originalName, safeName, displayName}] 解决特殊字符问题';
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