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Learn to build production-ready RAG applications using the 2025 best-practice technology stack in this comprehensive workshop. Discover the minimum viable production-ready LLM application stack for building and evaluating RAG applications, including specific tool recommendations: LangGraph for orchestration, LangSmith for monitoring and visibility, QDrant for vector database, Cohere's Rerank for enhanced retrieval, RAGAS for evaluation, and Together AI for model serving. Explore the five critical phases of moving from prototype to production in enterprise environments, starting with on-premises demos for executive buy-in, progressing through refined demos with engineering approval, data preparation and quality validation with architectural and security stakeholder support, beta testing with customer validation, and finally scaling user-friendly products with product and design team collaboration. Understand cloud service provider integration strategies and examine leading industry partnerships that prioritize rapid production deployment, such as CrewAI on AWS. Follow along as instructors Greg Loughnane and Chris Alexiuk from AI Makerspace build, ship, and share a complete production-grade RAG application step-by-step, combining theoretical concepts with hands-on coding implementation to prepare you for real-world enterprise RAG deployment challenges.
