feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval
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
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@@ -547,5 +547,6 @@ export default FulltextDetailDrawer;
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@@ -140,5 +140,6 @@ export const useAssets = (activeTab: AssetTabType) => {
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@@ -130,5 +130,6 @@ export const useRecentTasks = () => {
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@@ -329,5 +329,6 @@ export default DropnaDialog;
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@@ -416,3 +416,4 @@ export default MetricTimePanel;
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@@ -301,4 +301,5 @@ export default PivotPanel;
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@@ -102,3 +102,4 @@ export function useSessionStatus({
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@@ -92,5 +92,6 @@ export interface DataStats {
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@@ -88,5 +88,6 @@ export type AssetTabType = 'all' | 'processed' | 'raw';
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