Dược Thư RAG — Medical Chatbot Platform

Medical chatbot grounded in the Vietnamese National Drug Formulary (Dược thư quốc gia Việt Nam 2018), built as a microservices monorepo.

See docs/architecture.md for the full design (service responsibilities, data stores, RAG ingestion strategy, safety guardrails), docs/adr for architecture decision records, and docs/progress-log.md for a running log of what's been done and what's next.

Status: directory scaffold only — no business logic implemented yet. See the build roadmap in docs/architecture.md for the phased plan.

Directory map

apps/
  web/            Next.js frontend
  ai-service/     Python FastAPI — RAG orchestration + OpenAI calls
  api-gateway/    NestJS — public entry point, routes to internal services
  auth-service/   NestJS — signup/login/JWT
  user-service/   NestJS — profile/preferences
  chat-service/   NestJS — chat session + message history
  mobile/         reserved for a future mobile app
packages/
  shared-types/   TS DTOs shared across Node services + web
  api-client/     typed HTTP client for web
  ui/             shared React components
  config/         shared eslint/tsconfig presets
ingestion/        offline batch pipeline: PDF -> monographs -> chunks -> embeddings -> Qdrant
infra/            docker-compose, k8s/Helm, Terraform, CI
docs/             architecture docs and ADRs

Prerequisites (once implementation starts)

• Node.js + pnpm (JS workspace: apps/web, apps/api-gateway, apps/auth-service, apps/user-service, apps/chat-service, packages/*)
• Python 3.11+ (apps/ai-service, ingestion)
• Docker (local Postgres/Qdrant/Redis via infra/docker/docker-compose.yml)