Architecting Governed AI Agents & RAG at Scale
Details
❗Not for students
A comparative deep dive into open-source innovation vs. enterprise governance frameworks.
This event focuses on bridging the “Production Gap” why most AI prototypes fail to scale—and explores how to design secure, governed, enterprise-ready AI systems by combining the strengths of open-source frameworks with enterprise-grade platforms.
Register now & reserve your spot here: https://bit.ly/4bQGjG1
Date: April 11, Saturday
Agenda Summary
10:00 – 10:15 | Introduction and Context Setting
10:15 – 11:45 | Deep Dive: LangChain & LangGraph
11:45 – 12:15 | Networking Break
12:15 – 13:15 | The Governance Face-Off
Comparing DIY governance in open-source setups with enterprise trust layers—covering security, compliance, and control.
13:15 – 13:45 | Live Build & Demo
Building a stateful AI agent:
- Code-first approach (LangGraph)
- Low-code governed approach (UiPath)
13.45 | Closing
Strategic discussion: “Build vs. Buy – Choosing Your Enterprise AI Architecture.”
Key Takeaways
- Understand why AI prototypes fail in production environments.
- Learn advanced agentic and RAG design patterns
Identify governance gaps in open-source implementations. - Explore enterprise-grade AI trust layers and security frameworks
- Decide when to code vs. platform for scalable AI solutions
Venue: 7th Floor (UiPath) Embassy Vajram ONYX, Embassy Tech Village Road, Bengaluru, 560103 | https://share.google/YTRPXOZyyxuAZ0BQy
Speakers:
- Pranav Kashyap - Team Lead Delivery, Wonderbotz
- Yash Patil - Artificial Intelligence Engineer, Rootent Technologies
