Building Local RAG with Gemma & Qdrant

With AI advancing rapidly, one big question remains:

Should your data ever leave your machine?

In this deep technical session, we explore how to build a local-first RAG (Retrieval Augmented Generation) system — giving you full control over your data, models, and infrastructure.

Perfect for developers who care about privacy, sovereignty, and security, this hands-on workshop will guide you through building a complete prototype powered by open-source tools.

🧠 What You’ll Learn

• How to build a local RAG system using Gemma

• Implementing memory optimization with Qdrant Vector Database

• Designing an evaluation (metrics-based) pipeline

• Managing sensitive data without external APIs

• Monitoring and tracing using Comet OPIK (Open Source)

🎤 Speaker: Tarun R Jain

Founding Engineer

Google Developer Expert, AI

📅 11 March 2026 (Wednesday)

⏰ 4:00 PM – 5:30 PM

🌐 Fully Virtual

In the Agentverse, intelligence is powerful.

But sovereignty is professional.

📝 Register Now

🔗 https://forms.gle/QvYaYkaCyagvYSCTA

📣 Stay Connected

Telegram: https://t.me/gdgutm

Instagram: https://www.instagram.com/gdg.utm/

LinkedIn: https://www.linkedin.com/company/gdgutm/

X: https://x.com/gdgutm

Gemini Nexus: The Agentverse

Build with AI 2026

Organized by

Google Developer Groups On Campus

Universiti Teknologi Malaysia

Strategic Partner

Google Developer Group George Town

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