[Bengaluru Meetup] Architecting Governed AI Agents & RAG at Scale

​​❗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.

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
  
  Speakers:

• ​Pranav Kashyap - Team Lead Delivery, Wonderbotz

• ​Yash Patil - Artificial Intelligence Engineer, Rootent Technologies