Build with AI Universiti Sains Malaysia 2025 - Workshop 1

GDG on Campus Universiti Sains Malaysia - Penang, Malaysia

Leveraging AlloyDB and Vertex AI for an LLM- and RAG-Based Chat Application by Ananda Dwi Rahmawati

May 3, 2025, 2:00 – 4:00 AM (UTC)

5 RSVP'd

Key themes

AI - Gemini Enterprise Agent PlatformBuild with AIWorkshop / hands-on session

About this event

Join Google Developer Groups on Campus Universiti Sains Malaysia at "Build with AI". This event features a series of hands-on sessions covering Google AI technologies, including Gemini, Vertex AI, and Google AI Studio.

Speaker: 

Ananda Dwi Rahmawati


Abstract:

Retrieval-Augmented Generation (RAG) is a powerful technique to enhance the accuracy of responses from Large Language Models (LLMs) by incorporating non-public, context-specific data into the prompt. In this session, we’ll explore how to implement RAG using AlloyDB, Google Cloud’s high-performance PostgreSQL-compatible database, to store and perform semantic search on vector embeddings—enabling precise retrieval based on natural language queries. We’ll also leverage Vertex AI, Google Cloud’s unified platform for generative AI, and use Gemini Pro, a multimodal foundation model capable of understanding long-context prompts and rich media formats such as images, audio, video, and PDFs. Together, these tools enable the creation of a smart, context-aware chat application powered by LLMs.


📅 Date: May 3, 2025

⏰ Time: 10:00 AM – 12:00 PM (MYT)

🎤 Speaker Sharing Session: 10:10 AM – 11:30 AM

❓ Q&A Session: 11:30 AM – 11:50 AM


Register Now: 

https://forms.gle/K18G6TgFwQLHvmv27


Join our Participant's Whatsapp Group for update:

https://chat.whatsapp.com/CoNok3nwLPLD9qom8TfALF


Speaker

  • Ananda Dwi Rahmawati

    Cloud Engineer at Activate Interactive Pte Ltd

    Google Cloud Developer Expert | AWS Container Hero | CNCF Ambassador

Organizers

  • Keng Hoon Gan

    Advisor

  • Ng Jia Chi

    Lead

  • Ong Ting Xiang

    Co-Lead (External Relations & Partnerships)

  • Zhi Ying Lim

    Co-Lead (Internal Operations & Member Engagement)