HaHafeng
dfc0fe0b9a
Summary: - Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image - Successfully install and verify pgvector 0.8.1 extension - Create comprehensive Dify-to-pgvector migration plan - Update PKB module documentation with pgvector status - Update system documentation with pgvector integration Key changes: - docker-compose.yml: Switch to pgvector/pgvector:pg15 image - Add EkbDocument and EkbChunk data model design - Design R-C-R-G hybrid retrieval architecture - Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints) - Create detailed 10-day implementation roadmap Documentation updates: - PKB module status: pgvector RAG infrastructure ready - System status: pgvector 0.8.1 integrated - New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md) - New: Enterprise medical knowledge base solution V2 Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
57 lines
813 B
Plaintext
57 lines
813 B
Plaintext
feat(iit): Initialize IIT Manager Agent MVP - Day 1 foundation complete
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Summary:
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- Launch IIT Manager Agent (AI-driven IIT research assistant)
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- Complete Day 1/14: Database schema, module structure, WeChat integration
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Database Layer:
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- Add iit_schema with 5 tables
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- Include V1.1 fields: cachedRules, lastSyncAt, miniProgramOpenId
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- All CRUD tests passed
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Module Structure:
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- Create backend/src/modules/iit-manager/
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- 223 lines TypeScript types
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- Health check endpoint working
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WeChat Integration:
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- App registered: CorpID ww6ab493470ab4f377
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- Access Token verified successfully
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Documentation:
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- Update system status doc v2.3 -> v2.4
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- Complete IIT doc structure
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- Technical plan V1.1 (2170 lines)
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- MVP task list (615 lines)
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Status: Day 1 complete (11/11 tasks), ready for Day 2
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