Requirement Management

AI-native requirements and engineering knowledge platform for modern project teams.

The platform combines artifact/requirements management, custom fields, traceability, and a project-aware AI assistant for retrieval, review, and guidance.

Stack

• Frontend: Next.js
• Backend: Spring Boot
• Database: PostgreSQL + pgvector
• AI Service: FastAPI + Ollama

Repository

frontend/                  Next.js frontend
Backend/requirementmanagement/  Spring Boot backend
ai-service/                FastAPI AI service
Documentation/             Product notes and use cases

Local Setup

Start Postgres:

cd Backend/requirementmanagement
docker compose -f local-db.yml up -d

Run backend:

SPRING_PROFILES_ACTIVE=local ~/tools/gradle/gradle-9.4.1/bin/gradle bootRun

Run frontend:

cd frontend
npm install
npm run dev

Run AI service:

cd ai-service
source .venv/bin/activate
uvicorn app.main:app --reload --port 8001

Ollama models:

ollama pull llama3.2:3b
ollama pull nomic-embed-text

Useful Checks

Backend tests:

cd Backend/requirementmanagement
SPRING_PROFILES_ACTIVE=local ~/tools/gradle/gradle-9.4.1/bin/gradle test

AI tests:

cd ai-service
pytest -q

AI health:

curl http://localhost:8001/health

Notes

The AI is advisory only. It can answer questions, search project context, and suggest improvements, but it must not create, edit, delete, or approve project data automatically.