RAG•16 min read
Production RAG: Deployment Patterns and Best Practices
Move from prototype to production with RAG systems that scale. Learn about monitoring, evaluation, error handling, and deployment patterns that work in real-world scenarios.
Production RAG: Deployment Patterns and Best Practices
Moving RAG from prototype to production requires careful attention to reliability, scalability, monitoring, and operational best practices.
Production Considerations
- Reliability: Error handling, fallbacks, retries
- Performance: Caching, optimization, latency targets
- Monitoring: Quality metrics, performance tracking, alerting
- Scalability: Horizontal scaling, load balancing
- Security: Access control, data privacy, audit logging
Deployment Patterns
- Microservices architecture
- API gateways and rate limiting
- Vector database clustering
- LLM API failover strategies
- Comprehensive logging and observability
Build for production from day one, not as an afterthought.