Enterprise RAG Done Right: Lessons from the Field

Live session with Manning authors Tyler Suard & Darshil Modi—cutting through the RAG hype to show what it takes to build Enterprise RAG systems that deliver accuracy, scale, and reliability. Our last meetup focused on Secure Enterprise adoption of AI Tools—now we're continuing the conversation with the critical missing piece for successful GenAI implementation: Retrieval-Augmented Generation (RAG) at Enterprise scale.

While most companies are still struggling to deliver AI projects that work at scale, Tyler Suard and Darshil Modi, co-authors of "Enterprise RAG" (Manning), have done exactly that—building a system that searches 50+ million records across 12 databases in under 30 seconds with a 90% five-star user rating. In their book, they reveal how they achieved this while explaining why many current approaches fall short.

Rather than offering yet another intro-level "what is RAG" lecture, they'll guide us through:

• The structure of their book: Why solving RAG isn't just about tech stacks, but systems thinking across search, infrastructure, and evaluation
• A deep dive into Chapter 4: Hybrid search and lessons learned building with Azure AI Search
• A rare chance to interact live: Ask questions about the hardest chapters (even ones still in the works), and peek behind the curtain of their writing process

Who Should Attend
Software Engineers/Architects and AI practitioners who want to move their GenAI applications from proof-of-concept to production-ready systems. You'll leave with concrete strategies for preventing hallucinations, optimizing retrieval accuracy, and scaling your infrastructure to handle massive data volumes—all based on battle-tested experience rather than theory.

Extras
Attendees will receive an exclusive 50%-off Manning discount code to access the book early through the Manning Early Access Program (MEAP): https://www.manning.com/books/enterprise-rag

Bring your questions and join fellow developers looking to navigate the complex landscape of AI tools in Enterprise environments!