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🚀 Quick Start Guide

Get RAG Modulo up and running in minutes with this comprehensive quick start guide.

Prerequisites

Before you begin, ensure you have the following installed:

🐳 Option 1: Docker (Recommended)

The fastest way to get started is using our pre-built Docker images.

Step 1: Clone the Repository

git clone https://github.com/manavgup/rag-modulo.git
cd rag-modulo

Step 2: Set Up Environment

# Copy the example environment file
cp env.example .env

# Edit .env with your API keys
nano .env  # or use your preferred editor

Step 3: Start the Application

# Start with pre-built images (recommended)
make run-ghcr

That's it! 🎉 The application should now be running.

Step 4: Verify Installation

Check that all services are running:

# Check container status
docker compose ps

# View logs
make logs

Access Points

Service URL Description
Frontend http://localhost:3000 React web interface
Backend API http://localhost:8000 FastAPI backend
MLFlow http://localhost:5001 Experiment tracking
MinIO Console http://localhost:9001 Object storage

🛠️ Option 2: Local Development

For developers who want to build and run locally.

Step 1: Initialize Development Environment

# Initialize development environment
make dev-init

# This creates:
# - .env.dev (development configuration)
# - .env (production configuration)

Step 2: Build Local Images

# Build all development images
make dev-build

# This builds:
# - Backend development image
# - Frontend development image
# - Test image

Step 3: Start Development Environment

# Start development environment
make dev-up

# Validate everything is working
make dev-validate

Step 4: Development Commands

# Restart with latest changes
make dev-restart

# View logs
make dev-logs

# Check status
make dev-status

# Stop environment
make dev-down

☁️ Option 3: GitHub Codespaces

Perfect for cloud development without local setup.

Step 1: Create Codespace

  1. Go to the repository: https://github.com/manavgup/rag_modulo
  2. Click "Code""Codespaces"
  3. Click "Create codespace" on your branch
  4. Wait for environment to load (2-3 minutes)

Step 2: Start Coding

The environment is automatically configured with:

  • All dependencies installed
  • Development environment ready
  • Ports forwarded for testing

Step 3: Access Services

Services are automatically available at:


🔧 Configuration

Required Environment Variables

Edit your .env file with the following required variables:

# Database Configuration
VECTOR_DB=milvus
MILVUS_HOST=localhost
MILVUS_PORT=19530
DB_HOST=localhost
DB_PORT=5432

# LLM Provider Settings (choose one or more)
WATSONX_INSTANCE_ID=your-instance-id
WATSONX_APIKEY=your-api-key
OPENAI_API_KEY=your-openai-key
ANTHROPIC_API_KEY=your-anthropic-key

# Application Settings
EMBEDDING_MODEL=all-minilm-l6-v2
DATA_DIR=/app/data

Optional Configuration

# Authentication (for production)
IBM_CLIENT_ID=your-client-id
IBM_CLIENT_SECRET=your-client-secret

# Development Mode
DEVELOPMENT_MODE=true
SKIP_AUTH=true
TESTING=true

🧪 Verify Installation

Health Checks

# Check all services are healthy
make dev-validate

# Test backend API
curl http://localhost:8000/health

# Test frontend
curl http://localhost:3000

Run Tests

# Run quick tests
make test-atomic

# Run comprehensive tests
make test-all

🎯 First Steps

1. Create Your First Collection

# Using CLI
rag-cli collections create --name "my-first-collection"

# Or using the web interface at http://localhost:3000

2. Upload Documents

# Upload a document
rag-cli documents upload --collection-id <collection-id> --file document.pdf

# Or use the web interface

3. Ask Your First Question

# Ask a question
rag-cli search query --collection-id <collection-id> --query "What is this document about?"

# Or use the web interface

🔍 Troubleshooting

Common Issues

🐳 Docker Issues

Problem: Services fail to start

# Check Docker is running
docker --version

# Check service logs
make logs

# Restart services
make stop-containers
make run-services
🔐 Authentication Issues

Problem: Login attempts fail

  • Ensure OIDC configuration is correct in .env
  • Check IBM Cloud credentials
  • Verify redirect URLs match your setup
🧪 Test Failures

Problem: Tests failing locally

# Run tests in Docker
make test testfile=tests/unit/test_example.py

# Or use development environment
make dev-test

Getting Help

  1. 📚 Documentation: Check our comprehensive docs
  2. 🐛 Issues: Report bugs
  3. 💬 Discussions: Ask questions
  4. 🔧 Troubleshooting: Common issues

🎉 Next Steps

Now that you have RAG Modulo running, explore these resources:


💡 Tips

  • Use Docker: It's the easiest way to get started
  • Check Logs: Use make logs to debug issues
  • Validate Setup: Run make dev-validate to check everything
  • Start Small: Begin with simple documents and queries
  • Read Documentation: Our docs are comprehensive and helpful

Ready to build amazing RAG applications? 🚀

📚 Explore Documentation🛠️ Development Guide🧪 Testing Guide