Beyond RAG: Building AI Systems
Details
## Important
RSVP does not guarantee entry. We will review registrations, and approved attendees will receive confirmation.
LUMA Link - https://luma.com/j4z477za
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# Offline Community Connect – Beyond RAG: Building AI Systems
This workshop is designed for working professionals, students, and developers who want hands-on experience building AI-powered applications using Retrieval-Augmented Generation (RAG). Explore how RAG works, connect AI models with external knowledge sources, and learn to build practical AI systems that deliver more accurate, relevant, and context-aware responses for real-world applications.
## Agenda:
- Welcome & Introduction to Indian Data Club
- A brief introduction to the community, our mission, recent initiatives, and upcoming opportunities to learn, connect, and grow.
- Icebreaker Activity
- A short interactive activity to help participants connect with fellow professionals.
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- About Workshop:
- Speaker Details - Sujit Kumar Kar (Engineering Operations Lead @ Momence)
What we'll do:
- Understand how chunking and embeddings work in RAG systems.
- Evaluate RAG using Faithfulness, Precision, and Recall.
- Explore observability, monitoring, and feature flags.
- Build using lightweight, zero-cost infrastructure that attendees can reuse and extend.
The code will support free deployment through Google AI Studio and Vercel.
The goals:
- Demonstrate a working RAG system.
- Explore Semantic, Fixed, and Sliding Window Chunking.
- Understand the importance of observability and monitoring.
- Optional: Demonstrate GraphRAG and its use in multi-hop queries.
What people will use:
- Google AI Studio (2 free deployments for eligible accounts without a billing card).
- Vercel for free deployment.
- Neo4j AuraDB (free instance for the optional GraphRAG demo).
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- Tea Break
- Enjoy your tea or coffee and connect with fellow attendees.
- Interactive Quiz
- Closing Remarks & Open Networking
- Wrap up the session with key takeaways.
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Team
Indian Data Club
