Enterprise RAG Fireside Chat: What It Takes to Build Good RAG Systems скачать в хорошем качестве

Enterprise RAG Fireside Chat: What It Takes to Build Good RAG Systems

​This fireside chat brings together senior AI and engineering leaders who are actively building, scaling, and maintaining RAG systems inside large enterprises. The conversation will go beyond surface-level architectures and explore the real engineering, systems, and organizational challenges that arise when RAG moves from prototype to production. ​The Panel : ​Asif Qamar, CTO, Support Vectors - AI Research & Training ​Djay Chaudhary, Sr. Director, Generative AI, Visa Rajesh Beri, Sr. Director, AI & ML, Zscaler ​Rajhans Samdani, Principal Engineer, Snowflake Moderated by Atisha Rajpurohit, the AI Collective ​ Together, they’ll discuss what it actually takes to make RAG systems reliable, scalable, and enterprise-ready! What we will cover ​We’ll go beyond demos and dive into what it takes to build production-ready RAG systems—from robust architectures and advanced chunking and retrieval strategies to caching, latency, and cost optimization at scale. The conversation will also cover SQL + RAG and hybrid retrieval, observability and failure modes, and the real engineering and organizational trade-offs of deploying RAG in enterprise environments. ​This is not a workshop or a beginner talk. It’s a candid, experience-driven discussion focused on what breaks, what works, and what actually matters when building RAG systems inside enterprise environments.