RAG - The 2025 Best-Practice Stack, Prototype to Production

Discover the definitive 2025 best-practice technology stack for building production-ready Retrieval-Augmented Generation (RAG) applications in this comprehensive 2 hours 52 minutes conference talk from MLOps World. Learn from AI Makerspace co-founders Greg Loughnane and Chris Alexiuk as they share battle-tested tools and frameworks refined through years of experience with bootcamp students, consulting clients, and YouTube content creation. Explore their curated selection of optimal technologies including LangGraph for orchestration, LangSmith for monitoring and visibility, QDrant for vector databases, Cohere's Rerank for enhanced retrieval, RAGAS for evaluation, and Together AI for model serving. Master the five critical phases of enterprise RAG deployment from initial on-premises proof-of-concept through executive buy-in, refined demonstrations with engineering approval, data preparation and quality validation, beta testing with stakeholder engagement, and finally scaling to user-friendly production systems. Understand the strategic considerations for transitioning from prototype environments to cloud service provider integrations while maintaining enterprise-grade security and performance standards. Follow along as the instructors build, deploy, and demonstrate a complete production-grade RAG application step-by-step, providing practical code examples and architectural insights essential for AI engineering leaders looking to implement table-stakes RAG capabilities in 2025.