Enterprise RAG Fireside Chat: What It Takes to Build Good RAG Systems
Details
The AI Collective, together with SupportVectors, invites you to:
Beyond the Prototype : Enterprise RAG in Practice
A fireside Chat with Leaders Building AI at Scale
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
- Krishnan Ramaswamy, AI Engineering Leader, Customer Experience, Cisco
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.
Event Agenda
5:30 – 6:00 PM
Registration & Check-in
6:00 – 7:15 / 7:30 PM
Fireside Panel Discussion
7:30 – 8:00 PM
Live Q&A
8:00 – 8:30 PM
Networking with Speakers & Attendees
Venue:
Snowflake
125 Constitution Dr, Menlo Park, CA 94025, USA
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As always, food and drink, engaging conversation, and incredible company will all be provided!
Please be advised: Unfortunately, space is very limited at these community events and we can not always accept everyone we would like to. If you are not accepted to this event, please keep applying! We appreciate your application tremendously and we are looking forward to seeing you at a future event very soon!
AI summary
By Meetup
A fireside chat for enterprise AI leaders on production-ready RAG systems, with senior execs sharing real-world architectures and actionable trade-offs.
AI summary
By Meetup
A fireside chat for enterprise AI leaders on production-ready RAG systems, with senior execs sharing real-world architectures and actionable trade-offs.