Designing Scalable AI Systems: RAG, Agents & Production Reliability
Quick answer
Designing Scalable AI Systems: RAG, Agents & Production Reliability on April 18, 2026 at 1:30 PM - 4:00 PM at CAW Studios, 6th Floor, G Square, Madhura Nagar Colony, Gachibowli, Rai Durg, Hyderabad, Telangana 500104, India. Book via the official ticket link on this page.
| Date | |
|---|---|
| Time | 1:30 PM - 4:00 PM |
| Venue | CAW Studios 6th Floor, G Square, Madhura Nagar Colony, Gachibowli, Rai Durg, Hyderabad, Telangana 500104, India |
| Country | 🇮🇳 India |
Venue
Get Directions →About this event
About Event
Join us for our upcoming AI meetup hosted by Knacklabs in partnership with LangChain. Explore how scalable AI systems are built using RAG, agentic workflows, and production-ready architectures.
What to Expect
• RAG & agentic workflow deep dives
• Real-world production insights
• Architecture & reliability learnings
• Networking with AI builders
What to Bring
• Govt. ID (mandatory)
• Laptop (optional)
Agenda
1:30 – 2:00 PM Case Study: Designing an Advanced RAG-Based Document Parsing Agent using LangChain – Pratyush Ranjan Hota
2:00 – 2:30 PM Designing Agentic AI on Top of Conventional Applications and Existing Data Systems – Srikanth
2:30 – 3:00 PM From Prompt to Production: Building Scalable Agentic AI Systems – Khushal Sonawat
Break (15 mins)
3:15 – 3:45 PM TBD Session – Ravi Kiran
3:45 – 4:30 PM Panel Q&A
4:30 PM onwards Networking
Where is Designing Scalable AI Systems: RAG, Agents & Production Reliability happening?
Designing Scalable AI Systems: RAG, Agents & Production Reliability is happening at CAW Studios, 6th Floor, G Square, Madhura Nagar Colony, Gachibowli, Rai Durg, Hyderabad, Telangana 500104, India.
When is Designing Scalable AI Systems: RAG, Agents & Production Reliability?
It is on April 18, 2026 at 1:30 PM - 4:00 PM.
How do I book tickets?
Use the Book Tickets button on this page to continue on the official ticketing partner site.
What is the ticket price?
Prices will be announced by the organiser and updated here.