7.9 KiB
LightRAG Multi-Tenant Docker - Quick Start Guide
🚀 Get Started in 3 Steps
Step 1: Setup Environment
cd starter
make setup # Initialize .env from template
Step 2: Start Services with Multi-Tenant Demo Mode
make up # Starts all services (PostgreSQL, Redis, API, WebUI)
make init-db # Initialize database with 2 demo tenants
Step 3: Access the Services
Web UI: http://localhost:3001
API Docs: http://localhost:8000/docs
API Base: http://localhost:8000
📊 Default Multi-Tenant Configuration
By default, the system starts with MULTITENANT_MODE=demo which provides:
Pre-configured Demo Tenants
| Tenant | Knowledge Bases | Purpose |
|---|---|---|
| acme-corp | kb-prod, kb-dev | Enterprise tenant with production and dev KBs |
| techstart | kb-main, kb-backup | Startup tenant with main and backup KBs |
Using the Multi-Tenant API
All API requests should include tenant headers:
# Example: Query as acme-corp
curl -X POST http://localhost:8000/api/v1/query \
-H "X-Tenant-ID: acme-corp" \
-H "X-KB-ID: kb-prod" \
-H "Content-Type: application/json" \
-d '{"query": "your query here"}'
# Example: Query as techstart
curl -X POST http://localhost:8000/api/v1/query \
-H "X-Tenant-ID: techstart" \
-H "X-KB-ID: kb-main" \
-H "Content-Type: application/json" \
-d '{"query": "your query here"}'
📋 Service Endpoints
| Service | URL | Purpose |
|---|---|---|
| Web UI | http://localhost:3001 | User interface |
| API Docs | http://localhost:8000/docs | Interactive API documentation |
| API Redoc | http://localhost:8000/redoc | Alternative API docs |
| API Health | http://localhost:8000/health | API health check |
| PostgreSQL | internal-only (container network) | Database (not exposed to host by default) |
| Redis | localhost:6379 | Cache (internal use) |
🎯 Useful Make Commands
# Service Management
make up # Start all services
make down # Stop all services
make restart # Restart all services
make status # Show service status
make logs # Stream logs from all services
make logs-api # Stream logs from API only
# Database Operations
make init-db # Initialize database with multi-tenant schema
make db-shell # Connect to PostgreSQL shell
make db-backup # Create database backup
make db-restore # Restore from backup
make db-reset # Reset database (WARNING: deletes all data)
# Testing & Health
make api-health # Check API health
make test # Run tests for current mode
make test-all-scenarios # Run all 3 testing scenarios
# Cleanup
make clean # Remove stopped containers
make reset # Full system reset (WARNING: deletes volumes)
🔐 Demo Database Credentials (local/dev only)
PostgreSQL User: lightrag
PostgreSQL Password: lightrag_secure_password
PostgreSQL Database: lightrag_multitenant
PostgreSQL Host: postgres (inside Docker container)
PostgreSQL Port: 5432 (internal-only; not forwarded to host)
Demo Login:
Username: admin
Password: password
🛠️ Testing Different Modes
Multi-Tenant Demo Mode (DEFAULT)
# Already set in .env as MULTITENANT_MODE=demo
make up
make init-db
# Test with both tenants
curl -H "X-Tenant-ID: acme-corp" -H "X-KB-ID: kb-prod" \
http://localhost:8000/health
Single-Tenant Isolation Mode
# Switch to single tenant with multiple KBs
echo "MULTITENANT_MODE=on" >> .env
make restart
make init-db
Backward Compatibility Mode
# Switch to single-tenant compatibility (like main branch)
echo "MULTITENANT_MODE=off" >> .env
make restart
make init-db
# No tenant headers required
curl http://localhost:8000/health
📊 Database Tables Created
The initialization script (init-postgres.sql) creates:
Multi-Tenant Metadata:
tenants- Tenant informationknowledge_bases- KB metadata per tenant
Document Storage (tenant-isolated):
documents- Document metadatadocument_chunks- Document segmentsdocument_status- Processing statusembeddings_document- Document embeddings
Knowledge Graph (tenant-isolated):
entities- Entity recordsrelations- Relationship recordsembeddings_entity- Entity embeddingsembeddings_relation- Relation embeddings
Caching & Storage (tenant-isolated):
kv_storage- Key-value cachellm_cache- LLM response cache
All tables use composite keys: (tenant_id, kb_id, id)
🔍 Verify Multi-Tenant Isolation
From the Database
# Connect to database
make db-shell
# Check tenants
SELECT tenant_id, name FROM tenants;
# Check KBs
SELECT tenant_id, kb_id, name FROM knowledge_bases;
# Verify data isolation
SELECT COUNT(*) FROM documents WHERE tenant_id='acme-corp';
SELECT COUNT(*) FROM documents WHERE tenant_id='techstart';
# Exit
\q
From the API
# Health check
curl http://localhost:8000/health
# API docs (shows available endpoints)
curl http://localhost:8000/docs
🆘 Troubleshooting
Services Won't Start
# Check if ports are in use
lsof -i :3001 # WebUI
lsof -i :8000 # API
lsof -i :5432 # PostgreSQL (if published)
# View logs for errors
make logs
# Kill conflicting process and restart
kill -9 <PID>
make restart
Database Connection Issues
# Check PostgreSQL is healthy
make status
# View database logs
make logs-db
# Verify database exists
make db-shell
\l # List databases
\q # Exit
API Not Responding
# Check API health
make api-health
# Check API logs
make logs-api
# If needed, restart API
docker compose -p lightrag-multitenant restart lightrag-api
Reset Everything
# WARNING: This deletes all data!
make reset # Full system reset (stops, removes containers and volumes)
make setup # Re-initialize
make up # Start fresh
make init-db # Initialize with clean database
📚 Configuration Options
Edit .env to customize:
# Testing Mode (MUST be demo, on, or off)
MULTITENANT_MODE=demo # demo ← DEFAULT for testing with 2 tenants
# Default Tenant/KB (when not provided in headers)
DEFAULT_TENANT=default
DEFAULT_KB=default
# LLM Configuration
LLM_BINDING=openai
LLM_MODEL=gpt-4o-mini
LLM_BINDING_API_KEY=your_key_here
# Embedding Model
EMBEDDING_BINDING=ollama
EMBEDDING_MODEL=bge-m3:latest
EMBEDDING_BINDING_HOST=http://host.docker.internal:11434
# Database
POSTGRES_USER=lightrag
POSTGRES_PASSWORD=lightrag_secure_password
POSTGRES_DATABASE=lightrag_multitenant
# Server Ports
API_PORT=8000
WEBUI_PORT=3001
🎯 Key Features
✅ Multi-Tenant Isolation: Complete data separation between tenants ✅ Multiple KBs per Tenant: Each tenant can have multiple knowledge bases ✅ Composite Keys: Database-level isolation with (tenant_id, kb_id, id) ✅ Vector Search: pgvector with HNSW indexing ✅ Graph Database: Apache AGE for entity relationships ✅ Caching: Redis for LLM response caching ✅ Health Checks: Automatic service health monitoring
📖 More Information
For detailed testing strategies and advanced configuration, see:
docs/adr/008-multi-tenant-testing-strategy.md- Complete testing guideQUICK_REFERENCE.md- Command reference guideREADME.md- Project overview
⚡ Performance Tips
For Better Search
- Use appropriate tenant and KB headers
- Database indexes are automatically created
- Vector search uses HNSW for fast similarity search
For Better Caching
- LLM responses are cached in Redis by default
- Set
ENABLE_LLM_CACHE=true(default)
For Multi-Tenant Workloads
- Data is automatically isolated by tenant_id and kb_id
- No risk of cross-tenant data leakage
Last Updated: November 22, 2025 Status: ✅ Ready to Use - Multi-Tenant Demo Mode Enabled by Default Platform: macOS/Linux/Windows (with Docker)