📂 WELCOME TO THE FINAL STATION: THE TRUTH SEEKER!

General AI models are smart, but they can be confident liars. They hallucinate facts or give outdated answers because they don't know your private data. Track 4 brings you to the cutting edge of AI development: Retrieval Augmented Generation (RAG). This is how you build a bot that acts like a domain expert, citing real sources instead of making things up.

🎯 WHAT YOU WILL LEARN

• Stop the Hallucinations: Understand why LLMs make mistakes and how RAG "grounds" the AI in factual data.

• Vector Embeddings: Learn how to convert text (like customer feedback) into numbers (vectors) that capture semantic meaning.

• The RAG Pipeline: Master the 3-step workflow: Retrieve relevant info → Augment the context → Generate the final answer.

💻 FEATURED CODELAB (HANDS-ON) We will build a complete RAG pipeline using Google Cloud's powerful data tools:

• Lab: Create a RAG Application with BigQuery (GSP1289)

• Level: Advanced

• Scenario: You will help "Coffee-on-Wheels," a mobile coffee vendor, analyze customer feedback.

• Activity: instead of letting Gemini guess, you will use BigQuery to generate embeddings for customer reviews, perform vector searches to find relevant feedback, and feed that data to Gemini for accurate, data-driven insights.

🎙️ SPEAKER

• To be announced soon on our Fanpage.

⚠️ IMPORTANT: HOW TO GET FREE CREDITS To access the Codelab platform and receive your Google Cloud Credits for free, you must:

1. Click the RSVP button on this page.

2. Attend the session (Online) to receive the activation code. (Note: The system only issues credits to emails that have RSVP'd here).